2,271 evolution "https:" "https:" "https:" "UCL" "UCL" Postdoctoral research jobs in United States
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on the development, ecology, evolution, and physiology of marine organisms worldwide from the intertidal zone to the deep sea. Position Summary The Oregon Institute of Marine Biology seeks qualified applicants for its
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as impatience and present bias) and their causes and political consequences. The individual will work on aspects of the project that may include analysis of existing survey datasets, development
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
-tolerance to the insulin producing beta cells, and 2) Development of immunotherapies for T1D. The work makes use of several genetically manipulated mouse models of T1D, as well as humanized mouse models, and
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, United States of America [map ] Subject Areas: Education / Course Design Climate Change Environmental Studies / Natural Resources Science and Management Environmental Economics, Policy, and Science Development Economics
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development and wellness programs Data allowance and home office equipment reimbursements Relocation assistance (if eligible) Tuition reimbursement program (if eligible) Our Employee Benefits TTI employees can
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related field prior to the start date. Responsibilities for both positions will include collaborating on the development of research protocols, data collection and analysis, budget and supply management
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Frelinghuysen Road, Piscataway, New Jersey 08854. Email: zongwx@pharmacy.rutgers.edu. Lab website: https://sites.rutgers.edu/wei-xing-zong/ Position Status Full Time Posting Number 26FA0287 Posting Open Date 03
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, spoken, and social human-AI environments requires additional research support to ensure consistent and rigorous knowledge development in human-AI interaction. The candidate will be excited about exploring
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or Departmental Website: https://med.stanford.edu/michellelinlab.html (link is external) How to Submit Application Materials: Please send materials to PI Dr. Michelle Lin (mplin [at] stanford.edu) with the subject
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for predicting mental health outcomes of anxiety, depression and PTSD. There will be potential opportunities for methodological and/or software development and the integration of machine learning into the project