2,300 parallel-computing-numerical-methods-"DTU" Postdoctoral positions in United States
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neuroscience research with clinical applications to addiction and other mental health concerns. Our work draws on methods from psychology, experimental economics, human neuroscience, and computational psychiatry
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over time. This, key skills include familiarity with data management or large multi-method data sets and excellent data-analytic skills, especially those relevant to complex, large longitudinal studies
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, computational, and machine learning/AI methods, with a particular emphasis on deep learning approaches improve our understanding and prediction of infectious disease dynamics. Projects are also strongly grounded
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for adaptation to sea level rise along the Maine coast. This 18-month grant-funded position will be supported in partnership with Maine Coastal Program (MCP), Maine Geological Survey (MGS), and faculty from
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using various biophysical methods (for example: EMSA, ITC, AUC, FLUORESCENCE ANISOTROPY, BLI, MST, CD etc.). Experience with assay development and molecular microbiology a plus. Research experience in
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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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. The project seeks to advance population health using innovative quantitative methods in system dynamics computational modeling and structural equation modeling applied to accelerating the translation and
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that allow us to understand complex biological systems as well as develop novel therapeutic strategies. More information on the research program can be found at http://xiao.rice.edu . Rice University is one
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Hall sits between the Biology and Chemistry buildings and is home to our graduate training program in Quantitative and Chemical Biology (https://iuqcb.indiana.edu). Simon Hall houses other biochemists
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for Safe and Secure AI Robotics is looking to hire a post-doctoral associate to carry out research in deep learning methods for robotics. Single robots and swarms are both within the scope of the project