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analysis, data simulation and imputation. B) Participate in development and testing statistical methods for admixed human datasets. C) Omics (genome, transcriptome, microbiome, epigenome) data integration
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interests spanning statistical genetics, neuroimaging data analysis and developmental neuroscience, and the study of etiological heterogeneity in the developmental progression of substance use and substance
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of hydrologic intensification on long-term water budgets across the continental United States (CONUS), using various observational and reanalysis datasets in combination with empirical statistical
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Ph.D. in biology, psychology, animal behavior or related field and experience conducting behavioral experiments (in any species) is required. Strong skills in complex statistical analysis is preferred
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disease and related dementia research is highly desirable • Strong background in statistical data analysis • Excellent communication and organizational skills • Ability to work independently and