97 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "U.S" research jobs at Princeton University
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in the public interest and making a genuine contribution toward advancing the organizations’ objectives. The positions are located throughout the U.S., with the nation’s leading environmental
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on social vulnerability to hazards. The researcher will have the opportunity to work on multiple projects, investigating (a) cumulative environmental impacts, (b) the use of census microdata for social
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students under the age of 27 (as of July 1, 2026). Applicants must be in possession of a bachelor’s degree from a U.S. institution (completed between August 2023 and June 2026) with a GPA of no lower than
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the Summer of 2025 or sooner. The postdoctoral research associate will join a DOE-funded project on the social, political, and policy dimensions of decarbonization and renewable energy expansion in the U.S
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist to develop hybrid models for sea ice that combine coupled climate models and machine
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leading to an advanced degree. One need not be a U.S. citizen to apply. To learn more (including FAQ, profiles of past Fellows, etc.) visit: arts.princeton.edu/fellowships Please apply by September 9, 2025
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background in human or monkey electrophysiology. Studies will include simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience with the use
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experimental research related to multiple ongoing projects, including optical diagnostic design and high-temperature ammonia oxidation chemistry with applications to green manufacturing and recycling of steel
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: 272540364 Position: Postdoctoral Research Associate Description: The condensed matter spectroscopy group at Princeton University invites applications for multiple Postdoctoral Research or more senior
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation