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The Department of Politics at Princeton University seeks applicants for a postdoctoral research associate in the fields of formal theory and international relations. The term of appointment is for
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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be sent to amferris@princeton.edu with the subject line "Ferris Lab Postdoc Inquiry 2025". Applications will be reviewed on a rolling basis, until the position is filled, with a final deadline of
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The Princeton Institute for International and Regional Studies (PIIRS) at Princeton University is pleased to announce the call for applications to the PIIRS Postdoctoral Fellowship Program for
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on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available starting July 2025, and will remain open
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
coupled historical and scenario climate simulations; and 4) the development of an emulator for sea ice model physics. The work is part of a larger project, M2LInES, covering eleven institutions
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are expected to demonstrate a strong record of research accomplishment and creativity. The application deadline is December 1, 2024, 11:59 pm, EST. To apply online, please visit https
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"Ferris Lab Postdoc Inquiry 2025". Applications will be reviewed on a rolling basis, until the position is filled. Expected Salary Range: 65000-70000 The University considers factors such as (but not
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
. The work is part of a larger project, M2LInES, covering eleven institutions. The overall goal is to reduce climate model biases at the air-sea/ice interface by improving subgrid physics in the ocean, sea ice
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, metabolism, and the immune system. White, Eileen- Major areas of interest include: Identification of metabolic vulnerabilities in cancer, the role of nutrient scavenging pathways including autophagy in cancer