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novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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meetings. A PhD is required in a related field (e.g., demography, sociology, economics, epidemiology). Salary and full employee benefits are offered in accordance with University guidelines. Applicants
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their residency at Princeton to assisting with research and to their own work. Eligible candidate must have less than five years of post-PhD research experience prior to anticipated start date. This is a one-year
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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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, experience writing proposals for user-facilities, and/or experience leading and mentoring graduate and undergraduate students. A PhD in relevant fields of energy storage, electrochemistry, and materials
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The Princeton Center for Statistics and Machine Learning (CSML) invites applications for DataX Postdoctoral Research Associate positions. The DataX Postdoctoral Research Associate positions
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: PhD in a relevant discipline. Interested applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/37762 and include a cover letter, curriculum vitae, a brief statement of
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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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. Individuals with evidence of experience in scholarly research and a strong commitment to excellence in education are encouraged to apply. PhD is expected by the start date. Applicants must apply online
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experience in scholarly research and a strong commitment to excellence in education are encouraged to apply. A PhD in Materials Science, Optics, Physics, Chemistry, Electrical, Chemical, Mechanical, Civil