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emerging technologies such as artificial intelligence, quantum technologies, and space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer
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of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and
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, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational
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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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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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fellowships and grant supported positions, but you will be asked in the application which positions you are interested in. For further inquiries, contact astropd@princeton.edu. PhD is required. The work
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discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion