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: 277494302 Position: Postdoctoral Research Associate Theoretical High-Energy Physics Description: "Post-doctoral Associate in Theoretical High-Energy Physics'The Physics Department at Princeton University
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"Post-doctoral Associate in Theoretical High-Energy Physics'' The Physics Department at Princeton University expects to have post-doctoral or more senior research positions in Theoretical High
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
neural network that conserves heat, mass, and salt across model components; 2) implementation of the network in the SIS2 sea ice model; 3) evaluation of the impact of the conservative network in fully
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postdoctoral research associate position, to start as early as September 2025. The Ferris group studies high-temperature reaction chemistry and particulate formation using optical diagnostic methods, with
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Values. The teaching will likely involve running a senior thesis seminar rather than teaching a traditional course, subject to approval of Princeton's Office of the Dean of the Faculty. The postdoc will
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Values. The teaching will likely involve running a senior thesis seminar rather than teaching a traditional course, subject to approval of Princeton's Office of the Dean of the Faculty. The postdoc will
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September 2025. The Ferris group studies high-temperature reaction chemistry and particulate formation using optical diagnostic methods, with applications to alternative fuel design and atmospheric chemistry
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approval of Princeton's Office of the Dean of the Faculty. The postdoc will be expected to participate in a year-long research seminar for visiting fellows and Center faculty, as well as a year-long seminar
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who are unable to upload unofficial transcripts may send official transcripts to Politics Postdoc Search, Department of Politics, 001 Fisher Hall, Princeton University, Princeton, NJ 08540. A PhD is
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
coupled climate model simulations. The project will involve: 1) the development of a neural network that conserves heat, mass, and salt across model components; 2) implementation of the network in the SIS2