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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Post-Doc Associate – Redish Lab Job Duties/Responsibilities: 100% Behavioral neuroscience
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Job Title Postdoctoral Research Associate Agency Texas A&M University Health Science Center Department Psychiatry and Behavioral Science Proposed Minimum Salary Commensurate Job Location Bryan
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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Carrasquillo Lab, National Center for Complementary and Integrative Health, National Institutes of Health | Bethesda, Maryland | United States | about 1 month ago
behavioral neuroscience approaches to identify mechanisms underlying pain chronification, analgesia, affective-motivational comorbidities, and opioid-related behaviors. We are currently expanding
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at the intersection of artificial intelligence, human behavior, social networks, institutions, and large-scale digital systems. Recent projects span the societal effects and governance of AI, online-platform audits
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, which may include teaching responsibilities for Postdoctoral Associates Conformance to standards of responsible conduct in research Compliance with good scholarly and research practice Maintenance of a
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of Post Doctoral Researcher in Digital Health to support the evaluation of DASH, an innovative digital behaviour change intervention being delivered in partnership with the HSE. The successful candidate
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Scholar will focus on research in the area of advanced characterization techniques aiming at revealing new fundamental knowledge that governs the complex behaviors of advanced electrolytes at interfaces and
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experimental methods to build interpretable models of the complex, nonlinear dynamic behaviour of fuel cells. These models will provide an in-depth understanding of fuel cell behaviour under different operating