2,315 evolution "https:" "https:" "https:" "DESY" Postdoctoral positions in United States
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-insect community as a model for hypothesis testing in molecular evolution. The individual will use methods such as RNA-seq to identify genes and regulatory sequences that drive plant toxin detoxification
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to: Manuscripts, reports, abstracts for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received
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Scholar Salary range: A reasonable salary range estimate for this position is $66,737 - $80,034 based on level experience. The posted UC academic salary scales (https://www.ucop.edu/academic-personnel
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semiconductors and hydrogen-bonded supramolecular networks. Research in the Nienhaus Group is highly interdisciplinary combining a wide variety of chemical and physical methods, materials development and synthesis
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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 | 13 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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Immunology Posting Number R260040 Posting Link https://www.ubjobs.buffalo.edu/postings/61513 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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guidelines. For more information, see https://policy.umn.edu/hr/postdocappoint Responsibility • Lead innovative research on VLM/VLA methods and their applications in autonomous driving and ITS problem
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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