184 coding-"https:"-"FEMTO-ST"-"UNIVERSITY-OF-BUCHAREST" "https:" "https:" "https:" "UCL" Postdoctoral positions at Princeton University in United States
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excellence in education are encouraged to apply. PhD is required. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/37861 and include curriculum vitae, research statement and names
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should have a PhD degree (or expect to receive a PhD degree by June 15, 2026) in Psychology with demonstrated expertise in gender development. Applicants should have expertise in video coding (e.g
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The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/) at the Andlinger Center for Energy and the Environment invites applications for postdoctoral
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. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/39643. A complete application will contain the following materials: 1) a cover letter of application 2) a curriculum vitae 3) a
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must apply online at https://puwebp.princeton.edu/AcadHire/position/40661 and submit a cover letter, CV, samples of original work, research statement and contact information for three references
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: 280432214 Position: Postdoctoral Research Associate Description: The Princeton University WET LAB (https://ren.princeton.edu/ ) is seeking a postdoctoral research associate(s) or more senior researcher(s
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theoretical astrophysics. Applicants may work with the Department's distinguished faculty and research staff. For a full list of department members and activities, see https://web.astro.princeton.edu
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at https://www.princeton.edu/acad-positions/position/38061and submit a CV (including a list of publications), brief cover letter (summarizing prior research experiences and future interests), and contact
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. Applicants must apply online at https://www.princeton.edu/acad-positions/position/37941 and via email to Sabine Kastner (skastner@princeton.edu) and should post all application materials (cover letter, CV
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a broad community. The scope of the work builds on recent publications from the laboratory, e.g. integrating language models with mass spectrometry data (https://www.nature.com/articles/s42256-021