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and biobehavioral mechanisms underlying these associations. Key pathways of interest include physical activity and the gut microbiome. Research activities encompass primary data collection and secondary
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: · doctoral-level degree in public health, social sciences, or a related discipline · proof of successfully defending dissertation · strong research skills, including data collection, advanced analytical skills
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: · doctoral-level degree in public health, social sciences, or a related discipline · proof of successfully defending dissertation · strong research skills, including data collection, advanced analytical skills
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Collaboration, including arithmetic statistics, analytic number theory, probability theory of random algebraic structures, and applications of those areas to other areas of mathematics, including algebraic
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, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models
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responsible for developing and leading analytical causal inference analyses in international collaborative projects, such as the FEP-CAUSAL and BD-CAUSAL Collaborations. The postdoctoral research fellow will
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information about benefits, harms, and uncertainty is communicated to clinicians, patients, and payers. We welcome applications from recent PhD graduates and postdoctoral fellows who are interested in
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, analytical, organizational, communication, and decision-making skills Contact Information: For questions , please contact Maria LoSurdo at [email protected]. Contact Email: [email protected]
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for three references. Basic Qualifications: Ph.D. in biology, computational and data analytic skills, experience with spectroscopy, plant function, genetics, genomics, evolutionary biology or related field(s
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in the following: perform data management of claims databases and prepare analytic files to implement causal inference study designs that follow the target trial framework; independently conduct