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Bayesian modeling (e.g., hierarchical models, CAR/GMRF, state-space models, MCMC). Proficiency in R; experience with NIMBLE, or similar Bayesian frameworks. Demonstrated ability to write and communicate
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(or equivalent) in public health, health services, health policy, gerontology, or social work. Proficiency with data analysis and coding language (SAS, R, STATA, SPSS, Python, etc.) ideally with experience
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epidemiology, women’s health, and/or HIV epidemiology Expertise in data management and analysis using SAS, Stata, or R Expertise in longitudinal data analysis; experience with metabolomics or other ‘omics data
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epidemiologic and biostatistical training and be proficient with R-statistical software. Prior experience with single omics data and multi-omics integration (e.g., DNA methylation, transcriptomics, proteomics
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/EEG analysis) - Knowledge of R, Python, Matlab, shell scripts, or similar programming languages - Interest in mechanisms of psychopathology, particularly anxiety NOTE: Position tasks are generally