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development of measurement, evaluation, and analytic strategies to inform policy and systems transformation – 45% Develop conceptual frameworks, logic models, measurement plans, and analytic strategies, drawing
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the modeling framework appropriate to each scientific question and dataset. Assess data limitations, identifiability, and model assumptions, and identify additional measurements or experiments needed
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Bayesian statistical frameworks. Develop innovative statistical methodologies related to clinical trial design, variable selection in high-dimensional data, prediction of clinical outcomes, and meta-analysis
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adherence, within-host differences in infectiousness, and uncertainty quantification frameworks to evaluate HIV intervention scenarios. Minimum Requirements: A PhD degree is required. Preferred Qualifications
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social science by connecting empirical findings to broader conceptual frameworks The postdoctoral fellow will join a highly interdisciplinary environment, collaborating with researchers from economics