20 scientific-computing Postdoctoral positions at Princeton University in Postdoctoral
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conditions. The project sits at the interface of computer science, computational materials science, and Earth and planetary sciences, and emphasizes cross-disciplinary collaboration. The term of appointment is
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for the Postdoctoral Research Associate role . DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges
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/ ) invites applications for postdoctoral research associates focusing on the scientific, technical, policy, and human dimensions of environmental issues. These areas include issues surrounding global change
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living systems. The Leifer Lab studies how a biological neural network processes information, performs computation and generates actions. The lab is located within the Department of Physics and the
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Research Scholar to join in research efforts of interest to its faculty. Domains of interest include nonlinear partial differential equations, computational fluid dynamics and material science, dynamical
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science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact of artificial intelligence on society, as well as broader questions surrounding
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: 285829847 Postdoctoral Research Associate (Revised) Location: Princeton, New Jersey Salary Range or Pay Grade: 67,000-77,000 Description The Atmospheric and Oceanic Sciences Program at Princeton University
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applicants must: - Hold or expect to have completed a doctoral degree in Design or in a design-related field such as Human-Computer Interaction, Information Science, Science and Technology Studies, Sociology
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Gordon and Betty Moore Foundation and EPiQS Initiative. The Moore Foundation believes in bold ideas that create enduring impact in the areas of science, environmental conservation and patient care. Visit
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searching for a computational postdoctoral research associate. The project is associated with atomistic plasma-surface interaction simulations, employing machine learned interatomic potentials (MLIPs