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analyses, including, but not limited to, structural equation modeling, multilevel modeling, longitudinal analysis, and other advanced statistical approaches relevant to population health and health
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spatial infectious disease data is preferred. Familiarity with R is preferred, though the successful candidate will have freedom to develop analyses and models in the language in which they are most
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research for an NIH-NSF funded project on human health, movement, and infectious diseases. Successful applicants will have experience in: Either spatial analysis using GIS or disease modeling in R and/or
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cells, tissues, and animal models. Our current projects focus on metabolic heterogeneity and pathological drivers in cancer. Education and Experience: We're looking for someone who brings both technical