112 computer-science-quantum "https:" "https:" "https:" "https:" research jobs in United States
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, Materials Science and Engineering Posting Number req24171 Department Materials Science & Engr Department Website Link https://mse.engineering.arizona.edu/ Location Main Campus Address 1235 E. James E. Rogers
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Postdoctoral Research Associate, Materials Science and Engineering Posting Number req24171 Department Materials Science & Engr Department Website Link https://mse.engineering.arizona.edu/ Location Main Campus
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/Licenses Required Knowledge, Skills, and Abilities Strong background in quantum chemistry, computational physics, or machine learning; Proficiency in scientific programming; Excellent communication and
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at the density-functional and dynamical mean-field-theory levels, metal-insulator and structural phase transitions, quantum critical points, nonlinear and anomalous responses, optical traps, quantum computation
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of the Department of Physics (Nuclear and Particle Physics, Condensed Matter Physics, Quantum Information, Biophysics, and Astrophysics and Cosmology). The Fellowship is a prize postdoctoral fellowship managed by
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Strong background in quantum chemistry, computational physics, or machine learning; Proficiency in scientific programming; Excellent communication and scientific writing skills. Preferred Qualifications
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positions starting in Autumn 2026. The INT’s local research interests include QCD, lattice gauge theory, quantum computing, many-body theory and nuclear structure, nuclear astrophysics, effective field theory
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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propulsion. Applied Materials and Electromanufacturing Advancing plasma processing science and electrified manufacturing technology. Using high performance computing, machine learning and advanced numerical