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; those hired at more senior ranks may have multi-year appointments. Individuals should have or be expected to have a PhD with appropriate research experience in computational biology, chemistry
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the relationship between technology and society. The priority areas of our center include (1) AI, Data Science and Society, (2) Privacy and Security, and (3) Platforms and Digital Infrastructure. CITP tightly
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] Subject Areas: Artificial Intelligence, Machine Learning and Autonomy Computational Science and Engineering / Machine Learning Computational Biology / Data Analytics Analytical Chemistry / Current
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this position is in-person on campus at Princeton University.Essential Qualifications: Applicants must have received a PhD in Economics and must not be employed by another institution during their appointment
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
). When applied online to global ice-ocean simulations, this neural network substantially improves sea ice simulation performance (https://doi.org/10.1029/2023GL106776 ). The successful applicant
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position. Applicants should have a PhD degree (or expect to receive a PhD degree by September 1, 2025) in Psychology or allied fields (e.g., Sociology) with an interest in conducting research on joint
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- PhD research experience prior to anticipated start date. Academic excellence, potential to bring new ideas and approaches to Princeton University and to interact successfully with a broad range of
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demonstrate strong research capabilities, be comfortable working in an interdisciplinary environment, possess excellent written and spoken English skills, and hold a PhD in a relevant discipline. The term
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position. Applicants should have a PhD degree (or expect to receive a PhD degree by June 15, 2025) in Psychology or allied fields (e.g., Sociology) with an interest in conducting research relevant to racial
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space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer science, or other relevant fields and strong interest in technical and policy research