86 scientific-computing Postdoctoral positions at Princeton University in United States
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Location: Princeton, New Jersey 08540, United States of America [map ] Subject Areas: Applied Physics Quantum Optics Computational Science and Engineering Quantum Condensed Matter Theory Atomic and Molecular
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computer science, economics, law, political science, philosophy, and related fields. The DeCenter is a newly established interdisciplinary hub at Princeton University devoted to exploring the decentralization
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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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position to work on a new collaborative project in a team with expertise in plasma and plasma-surface interactions, surface science, and quantum metrology. The overall goal of the project is to develop
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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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of ecology, evolution, and/or behavior, while also contributing to Princeton University's excellence and diversity, broadly defined. The Program is intended to foster the onward scientific careers
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position to advance the understanding of liquid metal plasma-facing materials and first wall concepts for fusion energy devices through surface science experiments. Studies under the controlled conditions of
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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. These highly competitive positions will support research in quantum science and engineering across several departments throughout the university, including physics, electrical engineering, computer
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for peer reviewed publications Qualifications*Ph.D. in Environmental/Civil Engineering, Computer Science/Engineering, Data Science, or a closely related field*Proficiency in Python or other tools and ML