179 postdoc-computer-science-logic Postdoctoral positions at Princeton University in United States
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The Kahneman-Treisman Center for Behavioral Science & Public Policy at Princeton University's School of Public and International Affairs invites applications for a postdoctoral research associate
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continued funding; those hired at more senior ranks may have multi-year appointments. The aim of the program is to nurture a diverse group of promising scholars. We strongly encourage applications from groups
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with the possibility of renewal, pending satisfactory performance and continued funding, with negotiable starting dates for the next academic year. QUALIFICATIONS: Postdocs are expected to have
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, biologists and visual artists. Responsibilities will include: - Developing a computational Artificial Intelligence design framework based on urban-mined building stock and structural logic, to shape animal
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist
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research statement that includes your specific plans and goals for advancing equity and inclusion if hired as a Princeton postdoc, and contact information for three references. This position is subject to
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with the possibility of renewal, pending satisfactory performance and continued funding, with negotiable starting dates for the next academic year. QUALIFICATIONS: Postdocs are expected to have
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to participate in projects that research and refine quantitative methodology for political science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact
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The Joseph Research Group at Princeton University is searching for postdoctoral candidates interested in computer simulation studies of intracellular spatiotemporal organization, biomolecular self
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Improving Ocean Surface Boundary Layer Mixing Parameterizations with Langmuir Turbulence and Machine Learning The Atmospheric and Oceanic Sciences Program at Princeton University, in association