137 parallel-computing-numerical-methods Postdoctoral positions at Princeton University in United States
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Center for Globalization and Governance fellowship program, please contact Jennifer Bolton, Assistant Director, at jbolton@princeton.edu. The Princeton School of Public and International Affairs is
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 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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. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. Requisition No: D-26-SPI-00006 PI277393696 Create a Job Match for Similar Jobs About
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quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
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benefit program to eligible employees. Please see this link for more information. Requisition No: D-26-PHI-00001 PI277293984 Create a Job Match for Similar Jobs About Princeton University Princeton
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faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please
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University invites applications for postdoctoral positions. Our lab works in the areas of ultrafast science, nanoscale thermal transport, and microelectronics, for applications in energy-efficient computing
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Engineering, Computer Science/Engineering, Data Science, or a closely related field *Proficiency in Python or other tools and ML frameworks *Track record of open source contributions or tool development in AI
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: 275950536 Position: Postdoctoral Research Associate in Microfluidics, Nanofabrication, and Nanophotonics Description: The Department of Electrical and Computer Engineering has opening for postdoctoral
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials