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letter, a curriculum vitae including a publication list, and contact information for three references by applying on the Princeton University Academic Hiring website at https://puwebp.princeton.edu
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letter, curriculum vitae that includes a list of publications, a brief statement (3 pages) of research interests and goals and the names and contact information for three references. Essential
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discussion of past research and expertise) and contact information for three references. This position is subject to the University's background check policy. The work location for this position is in
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via email to Sabine Kastner (skastner@princeton.edu) and should post all application materials (cover letter, CV, research statement, and contact information for 3 references). The work location for
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continued funding. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/37561 and include a cover letter, curriculum vitae, research statement and contact information for three
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/position/37701. Please upload (1) a recent CV, (2) publications list, (3) a research statement, and (4) contact information for four (4) referees, who will be asked to provide letters of support. This
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highly promising scholar with a background in cognitive science or a related discipline, such as psychology, data science, or empirically informed/experimental philosophy. The scholar's research agenda
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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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Jonikas in the Department of Molectular Biology. Applicants should have experience with dual-comb spectroscopy and the acquisition and processing of associated signals and data. Essential Qualifications
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that includes names and contact information of three references. Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without