129 phd-in-mathematical-modelling-population Postdoctoral positions at Rutgers University
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experiences and individual differences, as well as cognitive modeling of decision-making in both lab and realworld settings. Successful candidates will be supported in building a research program at the
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combining these tools with theoretical models, we aim to understand how the brain supports thoughts, emotions, and decisions—and how disruptions or biases in these processes impact mental health. CAHBIR
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statistical issues: Which variables should be included in each model? From what population should the comparison group be drawn? Which statistical procedures should be used to determine the comparison group
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population should the comparison group be drawn? • Which procedures should be used to determine the comparison group? • Which models should be use for the data analysis? • How should missing values in the data
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provides robust learning experiences related to the science and application of HEOR, including cost studies, data analytics, economic models, real-world evidence, services utilization analysis, systematic
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to work on multiple research projects including but not limited to: 1) understanding organic acid, sugar, metabolite gene expression of breeding populations; 2) method development and implementation
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/benefits/benefits-overview . Posting Summary The Modeling Equitable and Accessible Spaces for Everyone (M-EASE) project in the Department of Psychology and Center for Cognitive Science is seeking a post
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metabolic tracing, metabolomics, and mouse models to explore metabolic pathways influencing heart function and disease progression. Among the key duties of this position are the following: Design and lead
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through mentored scholarship and independent research opportunities. In addition to research activities, the post doc will coordinate activities for Annals of LGBT Public & Population Health, partake in
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Department at Rutgers University, New Jersey. We study reproduction, specifically molecular mechanisms of the meiotic cell cycle. Our work involves genetic mouse models, combined with molecular, cellular, and