62 scientific-computing Postdoctoral positions at Princeton University in United States
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computer science, cognitive science, or a related field is required. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/40461 and include a cover letter, curriculum vitae, research
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position for the 2026-2027 year. Renewal is contingent on satisfactory performance and continued funding. The aim of the program is to promote a group of promising scholars in the broad area of comparative
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postdoctoral or more senior researcher interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling
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collaborate with other members of the lab. Applicants must have a recent Ph.D. in a relevant field, including but not limited to cement chemistry, material science, or structural materials and mechanics
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interdisciplinary program that combines the efforts of a diverse group of faculty, programs, and schools to develop a dynamic understanding of urban issues past, present, and future. Its theme, Cities on the Edge
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join a vibrant intellectual community dedicated to advancing research on blockchain, decentralized technologies, and their applications, across computer science, economics, law, political science
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represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program
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postdoctoral fellowship program. Appointments will be at the Postdoctoral Research Associate or more senior researcher rank. These highly competitive positions will support research in quantum science and
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The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist
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for the Postdoctoral Research Associate role . DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges