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health and well-being, cognitive aging and dementia, loneliness and social isolation, and integrative data analysis. Strong analytic skills such as structural equation modeling, multilevel modeling
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publicly available data from an array of cities. As such, the postdoc should have strong experience working with large datasets, modeling ecological data, and maintaining national/international
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researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber-Human-Physical Systems, it tackles issues like
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Ph.D. in molecular biology, cell biology, biochemistry or neuroscience. Prior research experience in mouse models, and/or membrane trafficking and lysosome biology will be a plus. Interested candidates
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characteristics of obligate intracellular bacteria, including Ehrlichia and Neorickettsia spp. We use a mouse model to study the disease pathogenesis in the mammalian hosts. We also work with blood samples
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of obligate intracellular bacteria, including Ehrlichia and Neorickettsia spp. We use a mouse model to study the disease pathogenesis in the mammalian hosts. We also work with blood samples collected from
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skills such as structural equation modeling, multilevel modeling, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS. Preferred
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proportional hazard models, repeated measures analyses, and hierarchical analytic methods required.). Excellent quantitative, technical, analytic, and applied research skills are required. Excellent written and
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require the use of cell lines and mouse models to mechanistically determine how tumor-intrinsic and systemic metabolism impacts cancer therapy. The individual will also be expected to be excited and
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demonstrated by track record of prior publications and related accomplishments from doctoral studies. The project will require the use of cell lines and mouse models to mechanistically determine how tumor