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structural equation modeling or mediation analysis to test mechanisms of change; mixed-effects models or difference-in-differences analyses for impact evaluations; factor analysis or item response theory
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data, working with three different working groups, contributing to scientific publications, and supporting policy tools and analyses. KEY RESPONSIBILITIES: Prepare statistical analysis plans and conduct
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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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the research. Potential topics include causal effect estimation, mediation analysis, longitudinal or observational data structures, policy learning, and methods for informative censoring and missing data
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MD/PhD with a strong background in virology or other areas relevant to our research. List of preferred technical skills (not all necessary): Bioinformatics analysis (RNA-Seq analysis) Cell culture
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, and the CDC Insight Network. POSITION QUALIFICATIONS REQUIRED: PhD (or equivalent) in Biostatistics, Epidemiology, or a closely related field. Strong applied data analysis and quantitative modeling
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lab studies the initiating immune events in the response to blood-borne therapeutics, including red blood cells and factor VIII, using a combination of pre-clinical mouse models and patient samples
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is ideal for someone with a background in some combination of behavior/learning theory approaches to anxiety, computational modeling of behavior, and fMRI analysis; and who wishes to gain or deepen
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with mammalian cell culture, molecular cloning, or transcriptomic analysis is desirable Excellent communication skills and a strong publication record This is a full-time, temporary training position
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make a compelling case for why Emory is the ideal environment for their postdoctoral training. Primary Mentor(s): A critical component of a successful application is securing the commitment of a primary