75 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions in United States
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of microelectronics, quantum sensors and devices, and sustainability sciences. Whether it be through science, engineering, technology or professional services, every team member has an opportunity to contribute to our
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information science research is desirable but not essential. Application Instructions: Candidates are required to submit a Resume or CV and a Research Statement, not to exceed 3 pages in length. Please upload all
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rigorous challenges of this position. A U.S. Department of Energy National Laboratory managed by Princeton University, the Princeton Plasma Physics Laboratory (PPPL) is tackling the world's toughest science
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students, low-income students, and veterans. Special Conditions for Eligibility Security/Cyber/Quantum Computing Department Information The Computer Science and Engineering (CSE) department is ranked #58 in
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Princeton Plasma Physics Laboratory Apprenticeship is the first-in-the-nation registered apprenticeship program in fusion energy and engineering. It is designed to equip the next generation of
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faculty position at the rank of assistant professor to begin in fall of 2026. We seek exceptional scholars whose research and teaching will elevate Watson College's strengths in Quantum Information Science
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of fusion energy, a potentially limitless energy source. PPPL is also using its expertise to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability sciences
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energy, a potentially limitless energy source. PPPL is also using its expertise to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability sciences. Whether it be
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of the department and institution. Maintains regular and predictable attendance. Minimum Education and/or Training: Bachelors in bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field
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for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of