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PhD with an interest in computational social science or data science (broadly defined). This individual will help design, execute, and analyze a series of field experiments on a platform created by the
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different countries. The successful candidate will be adept at crafting data‑driven narratives aligned with project priorities, have a strong record of peer‑reviewed publications, and demonstrate excellent
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our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ . Key Responsibilities • Research Collaboration: Co-develop and lead a faculty-mentored research project
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A successful candidate will have a PhD in political science, public policy, or a related field. The degree must be conferred by the start of the position. Applicants should have received their PhD
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self-direction and the ability to work effectively with other team members, undergraduate, graduate, and other post-doctoral researchers in the in lab. Candidates must have obtained their PhD in a
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trial design and conduct, and scientific writing. Qualification: PhD in nutrition, epidemiology, biostatistics or related field. Strong quantitative and analytical skills, including experience with
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biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in
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about the Duke Center for Jewish Studies may be found at https://jewishstudies.duke.edu . Further information about post-doctoral services at Duke may be found at: https://postdoc.duke.edu/ . Previous
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multiple faculties across disciplines. The successful applicant will possess a PhD or equivalent doctoral degree in engineering, material science, geoscience, environmental science, chemistry, industrial
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Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics