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, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in
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the application of statistics and machine learning in social science. The position requires no teaching, though teaching opportunities may be provided if requested. When teaching, successful candidates will carry
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turbulence, or empirical statistical downscaling. The individuals will have access to state-of-the-art numerical models and high-performance computing systems at Princeton and NOAA, working alongside GFDL
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis-Sigler Institute for Integrative Genomics and the