117 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS"-"St" positions at Princeton University in United States
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will be through the Andlinger Center for Energy and the Environment. The researcher is expected to contribute to projects that aim to model the drivers and impacts of energy transitions across multiple
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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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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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significant independence in selection of their research directions within their departments and can acquire a breadth of expertise by working with multiple faculty members.We value building a culturally diverse
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weigh multiple factors in evaluating applications, including the quality and prospective impact of the research proposal, and the strength of the candidate's C.V. (scaled by years relative to graduation
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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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significant independence in selection of their research directions within their departments and can acquire a breadth of expertise by working with multiple faculty members.We value building a culturally diverse
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human or monkey electrophysiology. Studies will include simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience with the use of laminar
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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
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, 2026) in Psychology with demonstrated expertise in gender development. Applicants should have expertise in video coding (e.g., Datavyu), longitudinal data analysis (e.g., RI-CLPM, growth-curve analysis