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Job Title Graduate Research Assistant Requisition Number DU13331 Department Name 7H150:BEHAVIORAL SCIENCE Work Location Lexington, KY Salary Range $30,000 with tuition reimbursement Type of Position Student Position Time Status Full-Time Required Education Bachelor’s Degree Required Related Experience N/A Required License/Registration/Certification CITI Training to be obtained after hire. Physical Requirements Able to lift at least 25 lbs Shift Monday through Friday for the Fall Semester, 2025– Spring Semester, 2026 Job Summary Qualified graduate student applicant will: · Assist with recruitment protocols by making follow-up phone calls and emails to potential participants and enrolling eligible participants in the AppalTRUST study. · Assist with tracking AppalTRUST study participants for the duration of their time in the study. · Assist with trouble-shooting technical issues · Assist with store audit protocol development · Assist with identifying new stores in an 8 county area using a social media review protocol · Conduct store photo audit data reviews · Assist with manuscripts, presentations, reports and other study products. · Additional responsibilities as needed. Skills / Knowledge / Abilities Highly reliable, Detail Oriented, Conscientious, Strong Oral and Written Communication Skills, Works Well Independently, but also Team Oriented. Does this position have supervisory responsibilities? No Preferred Education/Experience N/A Deadline to Apply 05/21/2025 Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors the University of Kentucky is a Tobacco &amp; Drug Free campus. As an Equal Opportunity Employer, we strongly encourage veterans, individuals with disabilities, women, and all minorities to consider our employment opportunities. Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

Graduate Research Assistant

Do you want to join a team where the mission is meaningful, the challenges are complex, and you can directly see the results of your hard work? Lundbeck is a global biopharmaceutical company focusing exclusively on brain health. With more than 70 years of experience in neuroscience, we are committed to improving the lives of people with neurological and psychiatric diseases. Lundbeck employees are inspired and driven by our purpose to advance brain health and transform lives. Join us on our journey of growth!Remote Opportunity - Open to candidates anywhere in the greater United StatesSUMMARY:We are seeking an experienced and innovative Data Science Modeler to join our Advanced Analytics team at Lundbeck. In this role, you will support the measurement and analysis of marketing programs by leveraging advanced analytics and machine learning techniques to drive insights while driving innovation in AI. You will collaborate with cross-functional teams to develop advanced predictive models, enhance reporting capabilities, and contribute to the strategic direction of our marketing initiatives.ESSENTIAL FUNCTIONS:<ul><li>Design, implement, and validate predictive models to assess the effectiveness of marketing programs and campaigns.</li><li>Hands on building machine learning models (classification and regression) for customer segmentation and targeting.</li><li>Analyze large datasets to identify trends, patterns, and insights that inform marketing strategies and decision-making.</li><li>Develop and deploy machine learning algorithms to optimize marketing efforts and enhance customer targeting.</li><li>Implement comprehensive reporting and visualization tools to communicate findings and recommendations effectively to senior leadership and stakeholders.</li><li>Work closely with marketing, analytics, IT, and agency partners teams to ensure data integrity, accessibility, and alignment with business objectives.</li><li>Stay up-to-date with industry trends and emerging technologies in AI and machine learning, promoting a culture of continuous improvement and innovation within the organization.</li><li>Provides technical expertise across the team</li><li>Supervise vendor resource on day to day tasks</li><li>Ensure thorough documentation of methodologies, processes, and model performance to ensure reproducibility and knowledge sharing.</li></ul>REQUIRED EDUCATION, EXPERIENCE, AND SKILLS:<ul><li>Accredited Bachelor’s degree</li><li>5+ years of experience in data science, statistics, analytics, or a related field, with a focus on marketing analytics.</li><li>Proven experience in leading analytic projects and hands on developing predictive models and machine learning algorithms, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), customer segmentation and lead scoring.</li><li>Experience in vendor management working with multiple vendors and overseeing data collection processes.</li><li>Proficiency in programming languages such as Python, R, or SQL.</li><li>Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software.</li><li>Strong analytical and problem-solving skills, with the ability to interpret complex data and translate it into actionable insights.</li><li>Excellent verbal and written communication skills, with the ability to present findings to both technical and non-technical audiences.</li><li>Demonstrated ability to lead and motivate teams, manage projects, and drive strategic initiatives.</li><li>Ability to work collaboratively in a fast-paced, dynamic environment.</li></ul>PREFFERED EDUCATION, EXPERIENCE, AND SKILLS:&nbsp;<ul><li>Accredited bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. or accredited master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.</li><li>Cross-industry experience, with a demonstrated ability to apply analytics techniques in diverse contexts (e.g., retail, finance, healthcare, technology).</li></ul>TRAVEL:<ul><li>Willingness/Ability to travel up to 25% domestically. International travel may be required</li></ul>The range displayed is a national range, and if selected for this role, may vary based on&nbsp;various factors&nbsp;such as the candidate’s geographical location, qualifications, skills,&nbsp;competencies,&nbsp;and&nbsp;proficiency&nbsp;for the role.&nbsp;Salary Pay Range: $150,000 - $175,000 and eligibility for a 15% bonus target based on company and individual performance.&nbsp; Benefits for this position include flexible paid time off (PTO), health benefits to include Medical, Dental and Vision, and company match 401k. Additional benefits information can be found on our career site. Applications accepted on an ongoing basis. #LI-LM1, #LI-Remote&nbsp; &nbsp;##LI-LM1, LI #Why LundbeckLundbeck offers a robust and comprehensive benefits package to help employees live well and protect their health, family, and everyday life. Information regarding our benefit offering can be found on the U.S. career site.Lundbeck is committed to working with and providing reasonable accommodations to disabled veterans and other individuals with disabilities during our employment application process. If, because of a disability, you need a reasonable accommodation for any part of the application process, please visit the U.S. career site.Lundbeck is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, and any other characteristic protected by law, rule, or regulation. Lundbeck participates in E-Verify.

Lundbeck

Manager Omnichannel Analytics - Remote Opportunity

22-Apr-2025<h4>Research Assistant III</h4>Harvard Medical School 68155BRJob SummaryThe HMS Electron Microscopy (EM) Core Facility is seeking a highly skilled and experienced Research Assistant III (RAIII) to join our dynamic team. The EM Core provides high-quality services and expert supervision in transmission and scanning electron microscopy to a large and diverse scientific community, including both basic research labs and industry. The RAIII will play a crucial role in supporting the daily operations of the EM Core, working independently under general supervision, and efficiently managing multiple tasks while delivering exceptional service.&nbsp;Position Description<ul><li>Receive and prepare samples for Transmission Electron Microscopy (TEM) and Scanning Electron Microscopy (SEM) including fixation, embedding, ultrathin sectioning, critical point drying, sputter coating, high-pressure freezing, freeze substitution, immunogold labeling, and negative staining.</li><li>Perform imaging, data collection, and analysis for specific projects based on sample submission requests, either independently or in collaboration with clients. • Assist in the training and operation of TEMs, SEMs, and ancillary equipment for sample preparation. Troubleshoot imaging challenges and assist with image analysis as required.</li><li>Meet with investigators to help design experiments, determine the appropriate technologies, and identify optimal workflows for a wide variety of samples.</li><li>Oversee the maintenance of lab equipment, manage inventory by ordering supplies, prepare reagents, and maintain vendor relationships. Ensure compliance with all safety regulations and lab protocols.</li><li>Conduct ongoing literature reviews to stay current with new procedures and emerging research. Apply this knowledge to improve ongoing research and develop new protocols.</li><li>Assist with administrative tasks such as generating quotes, billing for services, and other duties as required to support the operational efficiency of the EM Core.&nbsp;</li></ul>Basic Qualifications3+ years of experience working in an electron microscopy or related laboratory, preferably in a core facility setting.Additional Qualifications and Skills<ul><li>Bachelor's degree in basic science or biomedical related field.</li><li>Proven experience working with transmission and scanning electron microscopy, sample preparation techniques, and imaging analysis.</li><li>Good interpersonal skills with a high attention to detail, strong organizational and communication skills, ability to multi-task and work independently.</li><li>Strong problem-solving skills and ability to troubleshoot technical issues with microscopy equipment.&nbsp;</li></ul>Additional InformationThis is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position.&nbsp; The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up-to-date on CDC-recommended vaccines. Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding. The Harvard Medical School is not able to provide visa sponsorship for this position. Not ready to apply? Join our talent community to keep in touch and learn about future opportunities! (<a href="https://www.gem.com" target="_blank">https://www.gem.com</a> ?formID=16341e35-cbc6-4904-88a3-09b35763307e) &nbsp;Work Format DetailsThis position is based primarily on-campus, in Massachusetts. This may include in-person during emergency situations (if applicable). Additional details will be discussed during the interview process. Certain visa types may limit work location. Individuals must meet work location sponsorship requirements prior to employment.BenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/benefits-wellbeing" target="_blank">https://hr.harvard.edu/benefits-wellbeing</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionResearch Department Office LocationUSA - MA - Boston Job Code403116 Research Assistant III Lab Work FormatOn-Site Sub-Unit------------ Salary Grade054DepartmentCell BiologyUnion55 - Hvd Union Cler &amp; Tech Workers Time StatusFull-time Pre-Employment ScreeningEducation, IdentitySchedule35 hrs. per week | Monday - Friday | 9:00 am - 5:00 pm &nbsp;Commitment to Equity, Inclusion, and BelongingWe are committed to cultivating an&nbsp;inclusive workplace culture of faculty, staff, and students with diverse backgrounds, styles, abilities, and motivations. We appreciate and leverage the capabilities, insights, and ideas of all individuals. Harvard Medical School Mission and Community Values&nbsp;&nbsp;&nbsp; <a href="https://hms.harvard.edu/about-hms/campus-culture/mission-community-values-diversity-statement" target="_blank">https://hms.harvard.edu/about-hms/campus-culture/mission-community-valu…</a> &nbsp;EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-RA1

Harvard University FAS Human Resources

Research Assistant III

Postdoctoral Research AssociateJob ID: 13362Location: El Paso, TXFull/Part Time: Full TimeRegular/Temporary: RegularAbout UTEPUTEP is a comprehensive public research university that is increasing access to excellent higher education. We advance discovery of public value and positively impact the health, culture, education, and economy of the community we serve.The University of Texas at El Paso is America's leading Hispanic-serving university. Located at the westernmost tip of Texas, where three states and two countries converge along the Rio Grande, 84% of our 24,000 students are Hispanic, and more than half are the first in their families to go to college. UTEP offers 172 bachelor's, master's and doctoral degree programs at the only open-access, top-tier research university in America.Position InformationHiring Department: Department of Mathematical SciencesPosting End Date: Open until filled.This posting may close once a sufficient number of qualified applications have been received.Hours: 40 hours per week, standard Monday- Friday 8:00am- 5:00pm, flexibility is required on evenings and weekendsFLSA status: ExemptEarliest Start Date: As soon as possible.Salary: $60,000 annuallyRequired Application Materials:• Cover Letter• Three professional references• Curriculum Vitae• Research StatementAppointment terms and Benefits:The expected start date of this position is as early as June 2025. This position is grant funded and subject to available funds, with the possibility of renewal for an additional year, contingent on successful performance, mutual agreement, and funding availability. This is a research-focused position with no formal teaching responsibilities; however, teaching opportunities may be available in the Department of Mathematical Sciences at UTEP during the second year. The Postdoctoral Researcher will receive health insurance, benefits, and access to professional development opportunities.The primary accountabilities are intended to describe the general content of and requirements of this position and are not intended to be an exhaustive statement of duties. Incumbents may perform all or some of the primary accountabilities listed. Specific tasks or responsibilities will be documented in the incumbents' performance objectives as outlined by the incumbents' immediate supervisor or manager. This position is security-sensitive and subject to Texas Education Code §51.215, which authorizes the employer to obtain criminal history record information. A valid driver's license issued by the State where the applicant resides and insurability as defined in UTS 157 may be required to perform the position's essential functions.Purpose of PositionThe Department of Mathematical Sciences at the University of Texas at El Paso (UTEP) invites applications for a Postdoctoral Researcher position. This opportunity is funded by the DOE Energy Earthshots project, “Advanced Multi-Physics Machine Learning for Subsurface Energy Systems Across Scales.“(<a href="https://content.govdelivery.com/accounts/USDOEOS/bulletins/3734192" target="_blank">https://content.govdelivery.com/accounts/USDOEOS/bulletins/3734192</a>)The project aims to build computational models that enhance our understanding of physical, geomechanically, and geochemical processes occurring at multiple scales in subsurface energy storage and recovery systems.An interdisciplinary team from five institutions (UTEP, Florida State University, University of Utah, Sandia National Lab, and Alma Energy LLC) will collaborate, integrating expertise from applied mathematics, data science, geoscience, and engineering.Essential FunctionsThe Postdoctoral Researcher will join Dr. Son-Young Yi's research group at UTEP and contribute to the development of numerical models for enhanced geothermal systems and geologic carbon storage.They will also work closely with scientists from the partnering institutions and provide mentorship to undergraduate and graduate students involved in the project.The Postdoctoral Researcher will be involved in disseminating research findings through the publication of technical papers and presentations at scientific meetings.They will also be responsible for preparing presentation slides for monthly PIs meetings and other project-related meetings.QualificationsTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Required Qualifications:Education: PhD in applied mathematics, computational science, or any closely related field.andPreferred experience and skills:• Finite element methods for partial differential equations• Multiscale numerical methods• Flow and transport in porous media• Scientific machine learning• Excellent programming skills in C++ and Python and experience with High Performance Computing• Strong written and oral communication skillsAdditional InformationThe physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.While performing the duties of this job, the employee must frequently stand and walk. The employee must regularly sit; use hands to feel; reach with hands and arms; and talk or hear. The employee must lift and move up to 10 pounds.The noise level for this work environment is usually moderate.In keeping with its access, excellence and impact mission, The University of Texas at El Paso is committed to an open, diverse, and inclusive learning and working environment that honors the talents, respects the differences, and nurtures the growth and development of all. We seek to attract faculty and staff who share our commitment.The University of Texas at El Paso is an Equal Opportunity / Affirmative Action Employer. The University does not discriminate on the basis of race, color, national origin, sex, religion, age, disability, genetic information, veteran status, or sexual orientation and gender in employment or the provision of services in accordance with state and federal law. Discrimination on the basis of sex includes an employee's or prospective employee's right to be free from sexual harassment under Title IX of the Higher Education Amendments of 1972.For accommodation information for employees and applicants with disabilities, please contact UTEP's Equal Opportunity Office at <a href="mailto:eoaa@utep.edu.To" target="_blank">mailto:eoaa@utep.edu.To</a> apply, visit <a href="https://apptrkr.com/6156324jeid-ce6c3b363e431f4eb9ca7618b2a591cb" target="_blank">https://apptrkr.com/6156324jeid-ce6c3b363e431f4eb9ca7618b2a591cb</a>

The University of Texas at El Paso

Postdoctoral Research Associate

<h4>Senior Manager, Supply Chain Design &amp; Analytics - GreenBox</h4>Time type: full timePosted on: April 18, 2025Job requisition id: R4808What we needAs the Senior Manager, Supply Chain Design and Analytics, you will lead our logistics and supply chain network team within our commercial organization. You will be responsible to develop, design and optimize the logistics network to meet our customer needs as part of the sales process. In addition to strong analytical and problem-solving skills used as part of the process, you should be adept at presenting to key internal and external decision makers. Excellent communication, leadership and interpersonal skills, and the ability to thrive in a fast-paced environment are essential for success.GreenBox* is pioneering warehousing-as-a-service, offering outsourced warehousing operations, and specializing in automated warehousing solutions. Our focus is on the efficient movement of goods in cases and pallets across all sectors, such as wholesale, retail, and general merchandising.   *GreenBox is an independently managed joint venture between Symbotic and Softbank. What we doThe Solutions Engineering team is part of the Sales organization which plays a critical role driving revenue and growth by actively engaging with customers, understanding their needs, and presenting solutions that address those needs effectively.  The Solutions Engineering team are a trusted source of technical and analytical expertise within the Sales organization for both internal and external customers. What you’ll do<ul><li>Responsible for formulating strategies, build and manage tools to deliver data, reports, information, intelligence, and insight in a way that is easy to digest by external customers regarding network design and optimization</li></ul><ul><li>Understand our customers’ business and challenges to provide data insights to drive value to customers</li></ul><ul><li>Lead the development, design, and optimize the customers logistics network, including transportation routes and warehouse locations.</li></ul><ul><li>Utilize and develop advanced modeling and simulation tools to analyze and improve the customers network performance</li></ul><ul><li>Perform scenario analysis and develop forecasting models to predict logistics needs based on demand, inventory levels and other key factors</li></ul><ul><li>Synthesize the results in a clear and concise manner, present to all levels of management and to the customer</li></ul><ul><li>Collaborate with stakeholders across the organization to ensure alignment with business objectives</li></ul><ul><li>Manage and lead a small team of network design and analytics analysts</li></ul><ul><li>Attend sales calls with the sales team to answer technical questions and assist the sales team with proposal development&nbsp;</li></ul><ul><li>Produce clear and concise communication (written, presentation, customer)</li></ul><ul><li>Strong presentation skills with the confidence to present to large, executive-level audiences</li></ul><ul><li>Creating and maintaining a professional teamwork environment and being an excellent team player&nbsp;</li></ul>What you’ll need<ul><li>Bachelor's degree in business administration, finance, supply chain management or relevant field of study</li></ul><ul><li>Minimum5years’ experience in logistics network design and optimization and 10 years of relevant work experience</li></ul><ul><li>Expert level experience using network modeling tools and logistics management software</li></ul><ul><li>Knowledge of transportation management systems (TMS) and warehouse management systems (WMS)</li></ul><ul><li>Expert level experience in data analysis tools (e.g., Excel, SQL, Tableau)</li></ul><ul><li>Demonstrated leadership experience with cross-functional teams; indirect leadership experience should be evident</li></ul><ul><li>Proven track record managing complex projects and proposals</li></ul><ul><li>Strong presentation skills with the confidence to present to large, executive-level audiences. An ability to present complex concepts to customers with varying backgrounds</li></ul><ul><li>Excellent critical thinking skills</li></ul>Our Environment<ul><li>Up to 30% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.</li></ul><ul><li>The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.</li></ul>#LI-TN1#LI-Remote Apply Now

Symbotic

Senior Manager, Supply Chain Design & Analytics - GreenBox

Description Idaho National Laboratory is hiring a well-qualified Postdoctoral Research Associate in Thin Film Synthesis to work on our Condensed Matter and Materials Physics team. Our team works a 9x80 schedule located out of our Idaho Falls facility with every other Friday off.&nbsp; This position focuses on the synthesis of novel f-electron-bearing materials, specifically in thin films for nuclear, magnetic, and functional applications. Key responsibilities include designing and implementing growth campaigns and experiments using molecular beam epitaxy, sputtering, and/or atomic layer deposition systems, performing electrical transport measurements, structural characterization, and developing innovative approaches to sample handling. One of the responsibilities of this position will be leading experimental activities relating to the synthesis of f-electron-bearing materials under Laboratory Directed Research and Development grant. The postdoctoral research associate will contribute to, and actively engage in multi-institution collaborative research projects involving other experimental (transport, irradiation, microscopy, and fabrication) and theoretical (first principles and mathematical description) personnel. The postdoctoral research associate will also contribute to developing proposals for new research projects from internal and external funding sources, within a larger goal of expanding INL’s DOE Office of Science research portfolio. Other technical roles include: 1) substrate cleaving, mounting, and loading; 2) developing novel approaches to synthesis of rare-earth- and actinide-bearing compounds; 3) structural characterization of these materials using X-ray diffraction, atomic force microscopy, 4) four-point and Hall geometry transport measurements; 5) develop exfoliation and transfer methods for thin films, and 6) designing new architectures for device testing and characterization. Areas of inquiry at the nexus of these technical topics should be pursued and expanded in accordance with laboratory growth strategy in condensed matter physics and materials science. The postdoctoral research associate will also have opportunities representing INL and the Energy and Environment Science and Technology (EES&amp;T) directorate at national and international technical meetings, working groups, etc.&nbsp; Qualifications Minimum Requirements:&nbsp; <ul><li>PhD in Condensed Matter Physics, Materials Science or Comparable Disciplines. Must be completed by commencement of appointment and within the previous 5 years.&nbsp;</li><li>A strong background in thin film deposition (e.g. sputtering, atomic layer deposition, molecular beam epitaxy). </li><li>A strong background in structural characterization of thin films.&nbsp;</li><li>An interest and background in designing new materials and identifying growth conditions.&nbsp;</li><li>Demonstrated oral and published written communication skills (in English).&nbsp;</li><li>Demonstrated ability to propose, compile, and assemble teams for multi-institution responses to Funding Opportunity Announcements.&nbsp;</li><li>Management and organization skills necessary to successfully meet research and development goals for multi-institution collaborative projects.</li></ul> Job Information:&nbsp; <ul><li>The target salary for this position is $101,196.00 Annually. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.</li><li>TDP: This is a testing designated position; you will be required to submit to a pre-employment drug screen and periodic drug testing throughout the term of your employment.&nbsp;</li></ul> Benefits and Relocation <ul><li>Medical, Dental, Vision, and Flexible Spending Accounts</li><li>401(k) with a 4.2% employer contribution and up to 4.8% match</li><li>Paid time off (personal leave)</li><li>Employee Education Program (tuition assistance)</li><li>Comprehensive Relocation Package</li><li>Benefit eligibility subject multiple factors, including employment status and position classification.</li></ul> INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy’s mission in nuclear energy research, science, and national defense. With more than 5,000 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and development technologies that underpin the nation’s nuclear and renewable energy, national security, and environmental missions. INL Mission Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure. INL Vision Our vision is to change the world’s energy future and secure our nation’s critical infrastructure. Selective Service Requirements To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see <a href="http://www.sss.gov" target="_blank">www.sss.gov</a>. Equal Employment Opportunity Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.&nbsp; Reasonable Accommodation We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Other Information When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration. INL does not accept resumes from third party vendors unsolicited.

Idaho National Laboratory

Thin Film Synthesis Postdoctoral Research Associate

Job Title Research Analyst Requisition Number RE49997 Working Title Department Name 81090:Forestry and Natural Resources Work Location Lexington, KY Grade Level 42 Salary Range $17.41-27.87/hour Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: <a href="https://hr.uky.edu/employment/working-uk/equivalencies" target="_blank">https://hr.uky.edu/employment/working-uk/equivalencies</a> Required Related Experience No experience required. Required License/Registration/Certification None Physical Requirements Lifting, pushing, pulling objects up to 50 lbs.; walking and/or standing for extended periods of time; sitting for moderate amounts of time. Shift Monday – Friday, 8:00am – 4:30pm (37.5 hours/week). Job Summary The Martin-Gatton College of Agriculture, Food &amp; Environment Department of Forestry and Natural Resources at the University of Kentucky seeks a Research Analysist to support wildlife-related activities. Wildlife research in FNR broadly focuses on conservation and management of both game and non-game species. Eighty percent of the position will be devoted to supporting the research work of four wildlife faculty with a portion of time allocated to assisting other research projects in the Department. The position supports extensive field data collection, data analyses, and development of technical and research reports. The research analyst will: <ul><li>organize and support FNR wildlife faculty and graduate students with fieldwork and collection of data</li><li>&nbsp;manage and organize data</li><li>&nbsp;prepare and maintain samples for analysis</li><li>&nbsp;perform statistical and GIS analyses</li><li>&nbsp;summarize results</li><li>&nbsp;facilitate storage and dispose of samples</li><li>&nbsp;maintain wildlife collections (live and preserved specimens)</li><li>&nbsp;assist with instruction and/or lab set up of field and lab-based wildlife courses and prepare and/or edit manuscripts, grant proposals, presentations, and reports</li></ul> This position will also support research activities of non-wildlife FNR faculty and graduate students including assisting with field and lab work; the latter including maintaining lab equipment and supplies and assisting with lab safety. Maintain professional standards, customer service, organizational improvement and other duties as assigned. Must have a strong record of success conducting research and scholarly activities, including publication in peer-reviewed journals. Knowledge of Word, Excel, Access and PowerPoint is required; advanced knowledge of R and ArcGIS software is required; excellent communication skills and standard wildlife sampling techniques are required. For additional information on the Department of Forestry and Natural Resources please click here: <a href="https://forestry.ca.uky.edu/" target="_blank">https://forestry.ca.uky.edu/</a>. Skills / Knowledge / Abilities Microsoft Suite (Word, Excel, Access, PPT); ArcGIS, R, or other statistical software; GPS. Does this position have supervisory responsibilities? No Preferred Education/Experience Bachelor’s in Forestry or another related field plus three or more years related experience. Master’s degree is preferred, but not required. Deadline to Apply 05/07/2025 Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors the University of Kentucky is a Tobacco &amp; Drug Free campus. As an Equal Opportunity Employer, we strongly encourage veterans, individuals with disabilities, women, and all minorities to consider our employment opportunities. Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

Research Analyst

16-Apr-2025<h4>Research Assistant</h4>Harvard Kennedy School 68141BRJob SummaryThe Belfer Center&nbsp;seeks applications for a full-time research assistant role with the Belfer Center Applied History Project. The Applied History RA is responsible for organizing project initiatives such as seminars for the Ernest May Fellows in History and Policy, regular sessions of the Applied History Working Group, and a monthly Applied History newsletter. The Applied History RA reports directly to Graham Allison, the Douglas Dillon Professor of Government at the Harvard Kennedy School&nbsp;in conducting in-depth research on&nbsp;topics such as US foreign policy and strategy;&nbsp;China; Russia; defense and intelligence policy; global nuclear security and nonproliferation; international history; and a range of other major international security issues.&nbsp;To&nbsp;learn about the Applied History Project's mission, programming, and research, please visit its website: <a href="https://www.belfercenter.org/programs/applied-history-project" target="_blank">https://www.belfercenter.org/programs/applied-history-project</a> The Center has a dual mission: (1) to provide leadership in advancing policy-relevant knowledge about the most important challenges of international security and other critical issues where science, technology, environmental policy, and international affairs intersect; and (2) to prepare future generations of leaders for these arenas. We believe that creating a diverse and inclusive organization is central to our ability to achieve our mission. It is our goal to promote historically underrepresented groups without our organization and within the fields of science and international affairs.Position DescriptionResearch Assistants work closely with other members of a small research team and play a key role in:&nbsp;&nbsp;<ul><li>Conducting&nbsp;research on specific&nbsp;international security topics&nbsp;and&nbsp;producing&nbsp;in-depth analytic memos,&nbsp;eventually&nbsp;building deep expertise in their area(s)&nbsp;of responsibility.&nbsp;&nbsp;</li><li>Contributing to&nbsp;internal and external publications&nbsp;such as&nbsp;research reports, op-eds, academic articles, and book chapters.&nbsp;&nbsp;</li><li>Planning&nbsp;and conducting&nbsp;research for&nbsp;high-level events,&nbsp;including&nbsp;private working groups and large public events.&nbsp;&nbsp;</li><li>Other related job duties, as required.&nbsp;&nbsp;</li></ul>Basic Qualifications<ul><li>Bachelor’s degree required.</li><li>Significant knowledge of, and interest in, American and world history exceptional writing skills; and a demonstrated ability to work with minimal supervision under tight deadlines. </li></ul>Additional Qualifications and Skills<ul><li>Master’s degree in a relevant field is preferred, though we will consider candidates who have a bachelor’s degree with extraordinary academic or professional credentials.</li><li>Coursework related to&nbsp;American and world history and US foreign policy is a bonus.</li><li>1+ year of related work experience preferred but not required.</li></ul>Additional InformationThis position is a fully benefits-eligible term appointment ending one year from date of hire, with possibility of renewal. All applicants must submit the following materials: (1) Cover letter of 300 words or less (2) Resume or CV (3) Official or unofficial transcript (4) Analytic writing sample of 20 pages or less (5) Names and contact information for three references Applications will be reviewed on a rolling basis and early submissions are encouraged.&nbsp; Learn more about our work culture and see yourself at Harvard Kennedy School. We regret that the Harvard Kennedy School does not provide visa sponsorship. Harvard University requires pre-employment reference and background checks. Harvard University is committed to supporting a healthy, sustainable learning and working environment. &nbsp; This is a hybrid position based on our campus in Cambridge, MA. As a campus-based institution, we place a high value on the in-person experience, cross-team collaboration, and strong community building in order to create a vibrant campus for our students, faculty, staff, and research fellows. The position is required to work in-person on campus a minimum of three days per week during the academic year. Specific days and schedule will be determined between you and your manager. The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up-to-date on CDC-recommended vaccines. &nbsp; Salary Range: $55,806 - $87,169 Note: Starting salaries typically fall in the lower half of the salary range; however, they are ultimately determined by the scope of the position, the candidate's relevant experience, and internal equity.Work Format DetailsThis is a hybrid position that is based in Massachusetts. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.BenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionResearch Department Office LocationUSA - MA - Cambridge Job Code403113 Research Assistant II Non-Lab Work FormatHybrid (partially on-site, partially remote) Sub-Unit------------ Salary Grade053DepartmentBelfer Center for Science and International AffairsAnnual Salary Range$55,806 - $87,169Union55 - Hvd Union Cler &amp; Tech Workers Time StatusFull-time Pre-Employment ScreeningEducation, IdentitySchedule9-5 Monday through FridayCommitment to Equity, Inclusion, and BelongingHarvard Kennedy School’s Mission and Commitment to Diversity, Equity, and Anti-Racism &nbsp; At Harvard Kennedy School, fostering a diverse and inclusive community where everyone feels they belong is a matter of basic fairness consistent with our core values as an institution. It is also essential to our mission of improving public policy and leadership—because recruiting the best people and creating an environment where they can thrive make us better at what we do, because we learn more from people with different perspectives, and because we work in diverse groups and serve diverse societies. Learn more about Harvard Kennedy School’s commitment to Diversity Equity, and Anti-Racism.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-DS1

Research Assistant

16-Apr-2025<h4>Senior ML Research Engineer</h4>University Administration 68171BRPosition Description<h4>Job Summary</h4>The Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University is a dynamic and diverse community of students, scientists, and engineers dedicated to unraveling the basis of intelligence in both natural and artificial contexts and leveraging these findings to develop groundbreaking technologies. To support this growing community of scientists and students, the Kempner Institute has established one of the largest academic AI supercomputers in the world. Additionally, the institute is hiring senior engineers with deep experience in machine learning and AI to facilitate cutting-edge research. We are hiring a Senior ML Research Engineer with a proven record of technical leadership and solid engineering skills to enhance our Research &amp; Engineering team at the Kempner Institute. The Senior ML Research Engineer will play a critical role in building robust machine-learning codebase, distributing AI/ML models on the AI cluster, and utilizing their expertise to tackle complex challenges in large AI/ML applications. The ideal candidate will demonstrate a passion for pushing the boundaries of AI/ML technologies and an enthusiasm to contribute to a collaborative and innovative environment. Harvard University encourages candidates with diverse backgrounds and fresh perspectives to join the Kempner Institute. &nbsp;<h4>Position Description Summary</h4><ul><li><h4>Design, plan, and implement software and data services that support and enrich research productivity and reliability.&nbsp; Develop software and data services with researchers to ensure that modern standards of reproducible research are kept.</h4></li></ul><h5>Core Duties</h5><ul><li>Advise researchers in the design, planning, and implementation of software or data analysis that enriches research productivity and reliability</li><li>Build deep understanding of specific research activities through regular engagements</li><li>Develop a scope of work and timely project plan with regular milestones</li><li>Build and maintain software code and custom data processing pipelines for complex environments</li><li>Apply firm understanding of numerical methods or data analysis to develop custom solutions to meet researchers’ needs</li><li>Work in a team of developers and researchers in collaboration with systems professionals</li><li>Provide regular communications to stakeholders with project updates</li><li>Build internal code design and development guides for future contributors</li><li>Build advanced curriculum and teach workshops for researchers on sustainable software and data management practices that preserve the reproducibility of their research domain</li><li>Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct</li></ul>Basic Qualifications<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul>Additional Qualifications and Skills<ul><li>Expertise in implementing software engineering best practices such as code reviews, version control, documentation, and agile methodologies.</li><li>Strong experience in machine learning/AI research and technical support.</li><li>Deep understanding of modern machine learning architectures and optimization techniques.</li><li>Proficiency in deep learning frameworks (PyTorch).</li><li>Experience with Nvidia GPU stack and HPC technologies.</li><li>Detail-oriented expertise, with strong problem-solving skills to support research.</li><li>Excellent communication skills, able to simplify complex tech concepts.</li><li>Strong team player with a service mindset, able to guide researchers.</li><li>Proven track record of success in working in a cross-functional team in an agile environment.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li></ul>Certificates and Licenses<ul><li>Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred</li></ul>Working Conditions<ul><li>Work is performed in an office setting</li></ul>Additional InformationWe are unable to provide visa sponsorships for these positions. This position has a 6-month orientation and review period.&nbsp; &nbsp;Work Format DetailsThis is a hybrid position that is based in Massachusetts. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.BenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/benefits-wellbeing" target="_blank">https://hr.harvard.edu/benefits-wellbeing</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionInformation Technology Department Office LocationUSA - MA - Cambridge Job CodeI0760P Applications Professional VI Work FormatHybrid (partially on-site, partially remote) Sub-UnitInterfaculty Initiatives Salary Grade060DepartmentKempner InstituteUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningIdentity ScheduleFull time. Monday through Friday. 35 hours per weekCommitment to Equity, Inclusion, and BelongingHarvard University views equity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify this excellence while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-EP1

Senior ML Research Engineer

Description Idaho National Laboratory is hiring an Advanced Fuel and Cladding Postdoctoral Research Associate to work in our Characterization department. Our team works a 4x10 schedule located out of our Materials and Fuels Complex with every Friday off. You will investigate advanced fuel and cladding for next-generation advanced reactors. Particularly, you will focus on uranium nitride fuel and SiC cladding system. We will require a strong background in advanced materials characterization (e.g., focused ion beam and transmission electron microscopy) and a solid understanding of materials science and engineering. You will help collect experimental data, analyzing the data to determine material performance and understand the basic mechanisms of materials degradation of UN and SiC. You will publish research results in internal reports and open literature promptly. Collaboration between the computational and experimental elements will be strongly encouraged through research exchanges to develop a common basis for the postdoctoral fellows, graduate students, and principal investigators. The postdoctoral fellowship will mainly be funded through a Department of Energy -Integrated Research Projects. Idaho National Laboratory has been designated as the lead Department of Energy laboratory for all aspects of nuclear fuel and materials research and development in the United States.&nbsp; INL has the most comprehensive single-location nuclear fuel research capabilities in the US and, in particular, the most complete and advanced complement of post-irradiation examination capability for studying the effects of radiation damages on reactor materials and fuels.&nbsp; Qualifications Minimum Requirements:&nbsp; <ul><li>PhD requirements must be completed by commencement of appointment and within the previous 5 years</li><li>Ph.D. in Materials Science or a closely related field</li><li>Hands-on experience with advanced materials characterization and spectroscopic techniques such as SEM, FIB, and TEM</li><li>Knowledge of advanced nuclear reactors</li><li>Hands-on experience conducting materials characterization on fresh and irradiated UN and SiC.</li><li>Demonstrated oral and published works in English&nbsp; Demonstrated expertise (through peer-reviewed journals) in physical/mechanical metallurgy principles.</li><li>Excellent publication record in peer reviewed journals</li><li>Successful record of writing and being awarded research grants</li><li>Be a strong team player and effectively organize and lead tasks</li><li>Relevant experience working in a research laboratory environment</li></ul> Job Information:&nbsp; <ul><li>Salary: $101,196 Annually</li><li>You are required to show a demonstrated commitment to valuing diversity and contributing to an inclusive working environment.</li></ul> Benefits and Relocation <ul><li>Medical, Dental, Vision, and Flexible Spending Accounts</li><li>Paid time off (personal leave)</li><li>Comprehensive Relocation Package</li><li>Benefit eligibility subject multiple factors, including employment status and position classification.</li></ul> INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy’s mission in nuclear energy research, science, and national defense. With more than 5,000 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and development technologies that underpin the nation’s nuclear and renewable energy, national security, and environmental missions. INL Mission Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure. INL Vision Our vision is to change the world’s energy future and secure our nation’s critical infrastructure. Selective Service Requirements To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see <a href="http://www.sss.gov" target="_blank">www.sss.gov</a>. Equal Employment Opportunity Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Women and People of Color are strongly encouraged to apply.&nbsp; Reasonable Accommodation We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Other Information When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration. INL does not accept resumes from third party vendors unsolicited.

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