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expertise, we value strong communication, technical writing skills, and teamwork. The successful candidate is a self-starter with a demonstrated ability to independently lead research projects. Candidates
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
models, and their coupling, using machine learning. The postdoc will be expected to collaborate with other postdocs at Princeton and with other members of the M2LInES project across multiple institutions
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://puwebp.princeton.edu/AcadHire/position/36402 and submit a cover letter, CV, a research statement that includes your specific plans and goals for advancing equity and inclusion if hired as a Princeton postdoc, and
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://puwebp.princeton.edu/AcadHire/position/36402 and submit a cover letter, CV, a research statement that includes your specific plans and goals for advancing equity and inclusion if hired as a Princeton postdoc, and
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to participate in projects that research and refine quantitative methodology for political science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact
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sample, transcript and the names and contact information of three references. Ph.D. is required. The cover letter should describe how applicants might engage in collaborative research projects with
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
and atmosphere components of existing coarse resolution IPCC-class climate models, and their coupling, using machine learning. The postdoc will be expected to collaborate with other postdocs
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the ability to controllably engineer diamond surfaces to enable future advanced applications of diamond electronic and quantum devices and sensors. Fundamental studies using highly controlled exposures
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. Our lab works in the areas of ultrafast science, nanoscale thermal transport, and microelectronics, for applications in energy-efficient computing, thermal management, and energy conversion. We seek
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subgrid physics in the ocean, sea ice and atmosphere components of existing coarse ( to 1) resolution IPCC-class climate models, and their coupling, using machine learning. The postdoc will be expected