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Carolina 27708, United States of America [map ] Subject Areas: Political Science Sociology Statistics / Statistical Science Appl Deadline: 2026/03/31 11:59PM (posted 2026/01/07) Position Description
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to contribute to innovative, policy-relevant research at the intersection of statistics, infectious diseases epidemiology, and global health. Appointment Details The successful applicant will be registered
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experienced by people living with HIV (PLHIV). This position offers an opportunity to contribute to innovative, policy-relevant research at the intersection of epidemiology, social sciences, statistics, and
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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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research workflows, and, where possible, public tools or model artifacts. Basic Qualifications PhD (completed or near completion) in one of the following or a closely related field: Computer
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closely related field PhD training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years
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: Essential experience and skills: You have a PhD in machine learning, applied math, data science, genomics or epigenomics or transcriptomics, evolutionary biology, (bio)statistics, or related fields. You are
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a modeling approach inspired by statistical physics to describe individual strategies, their interactions, and emergent effects at the group scale. The candidate will contribute to the development and
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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) • Evaluate data and summarize results for preparation in peer reviewed publications including use of simple to complex statistical analysis • Compose and write scientific publications, progress and annual