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professional development. This position is well suited for a researcher interested in advancing the theory or practice of causal inference, building a strong publication record, and working in a supportive and
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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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in PREMISE (PrEP Epidemiology, Modeling, and Surveillance), a collaborative and interdisciplinary group that will use national PrEP data, along with legal and policy coding, to inform the US HIV
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