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continued funding; those hired at more senior ranks may have multi-year appointments. The ideal applicant will be highly motivated; good communication skills; have (or expect to have) a PhD in Molecular
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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meetings. Additional Information: Applicants must hold a PhD in demography, sociology, epidemiology, or a related field. The work location for this position is in-person on campus at Princeton University
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: 270175820 Position: Postdoctoral Research Associate Description: The Department of Electrical and Computer Engineering invites applications for postdoctoral, or more senior, research positions. The term
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who are unable to upload unofficial transcripts may send official transcripts to Politics Postdoc Search, Department of Politics, 001 Fisher Hall, Princeton University, Princeton, NJ 08540. A PhD is
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are particularly encouraged to apply. Candidates will be expected to devote themselves to research and writing and may teach not more than one course per semester. When teaching, successful candidates will hold the
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skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and software delivery f) big data visualization g) cloud computing h) web application
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contributions and expertise *Names and contact information for three references PhD is expected by the start date. Appointments are for one year, with the possibility of renewal based on continued funding and
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to undertake at Princeton. The position(s) will be supervised by two faculty members, depending on applicants' research focus. The successful candidate(s) may be invited to teach one course for Linguistics per
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biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics