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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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the social sciences, statistics, computer science, or related fields, and their interests must fall at the technical forefront of quantitative social science. Candidates should offer state-of-the-art
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projections) to communities in need of improved decision-making guidance. The successful candidates will have the opportunity to develop actionable weather and Earth System data and knowledge that will be used
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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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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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Physical Sciences Laboratory and Center for Operational Oceanographic Products and Services to develop and enhance statistical assessments of coastal sea level representation. The overall goal is to