126 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions at Princeton University
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. Applicants should apply at: https://puwebp.princeton.edu/AcadHire/position/39183 and include: *A cover letter *A CV (including a list of publications) *A statement of relevant past and current research
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independent research and will teach one course per academic year (pending sufficient course enrollment and approval from the Office of the Dean of the Faculty). Successful candidates will also participate
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pending satisfactory performance and continued funding. For details on specific faculty members and their research interests, please review the Faculty Research Interests document. https
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of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. Applicants must apply online at https://puwebp.princeton.edu/AcadHire
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member in preparing for the upcoming fall semester's SPI 298 course. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/40881 and submit a cover letter, C.V., one research paper
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The Princeton University WET LAB (https://ren.princeton.edu/) is seeking a postdoctoral research associate(s) or more senior researcher(s) with expertise and interest in Large Language Models (LLM
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at https://puwebp.princeton.edu/AcadHire/position/40481 and submit a cover letter, C.V., statement of research, one or at most two research papers, and three reference letters. Applications will be reviewed
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must apply online at https://puwebp.princeton.edu/AcadHire/position/40302. Applicants should submit a letter of application, a CV, a writing sample of no more than 10,000 words, and the contact
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on the IAS campus, and will receive a competitive salary along with Princeton University benefits and an annual research fund of $5,000. Applicants must apply online at https://puwebp.princeton.edu/AcadHire
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. This position is subject to the University's background check policy. The work location for this position is in-person on campus at Princeton University. To apply online, please visit https://puwebp.princeton.edu