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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
on Qualifications Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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Fraunhofer IGD and the FBN team to safeguard an efficient collaboration and communication between behavioural biologists and computer scientists. The project is part of the KI-Tierwohl project (https://ki
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optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
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the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node
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? In addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. CONTEXT OF THE JOB: The Department of Chemistry and Biochemistry is a
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 31-Mar-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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. About the position The successful candidate will do research on how to improve precision and accuracy in forest soil carbon stock estimates within the project “A better check on soil carbon - a novel
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our award-winning work in Disability Inclusive Science Careers: https://disc.hw.ac.uk/ . Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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for this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins. There will be potential