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laboratory plasmas. The applicant is required to have a PhD in physics, or a related field, and have a strong background in computational astrophysics. The expected starting date is negotiable. Appointments
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on their application. All applications and supporting materials must be submitted by the application deadline date of May 31, 2025, 11:59 p.m. EST. These positions are subject to the University's background check
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must apply online at https://puwebp.princeton.edu/AcadHire/position/37322. A complete application will contain the following materials: 1) a cover letter of application 2) a curriculum vitae 3) a sample
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: 270955959 Position: Postdoctoral Research Associate Description: Postdoctoral and more senior research positions are available in biological, inorganic, materials, organic, physical, theoretical, and
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://puwebp.princeton.edu/AcadHire/position/35001 Review of applications will begin immediately and remain open until the position is filled. Applicants should submit the following materials: cover letter, curriculum vitae
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receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status
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The Program in Latin American Studies (PLAS) is seeking candidates from any discipline who are engaged in scholarly research on topics related to Latin American Studies, including the Caribbean and
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. Princeton University is an Equal Opportunity/ Affirmative Action Employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual
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, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. PI271137469 Create a
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 271598471 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in