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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 271598471 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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computational chemistry. The Term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding
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The Computer Science Department invites applications for postdoctoral and more senior research positions. Individuals with evidence of experience in scholarly research and a strong commitment to
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contact information for three references. This position is subject to the University's background check policy. The work location for this position is in-person on campus at Princeton University. The Term
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differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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; a published paper written in the past three years; a statement of no more than 1,500 words describing the doctoral dissertation and proposed research project; uploaded contact information for three
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are intended for early-career scientists with a research interest in data science, statistics, and machine learning. As an associate, you will join the research group of a current CSML participating faculty
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. Our lab works in the areas of ultrafast science, nanoscale thermal transport, and microelectronics, for applications in energy-efficient computing, thermal management, and energy conversion. We seek
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offers a comprehensive benefit program to eligible employees. Please see this link for more information.
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@princeton.edu. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/37701. Please upload (1) a recent CV, (2) publications list, (3) a research statement, and (4) contact information