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Field
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optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques to quell opto-mechanical
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Education At the time of hiring, a PhD in Solid state Physics, Theoretical Chemistry, Computational Materials Science, or related fields. Required Experience Strong foundation in Quantum Mechanics and
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the last 0-5 years) in fields of physical chemistry or physics Strong background in quantum mechanics, photophysics, and photochemistry Hands-on experience with ultrafast nonlinear optical spectroscopy (e.g
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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of computational materials discovery starting in Summer 2025. Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven
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on quantum materials and also implement new laser sources for the measurements. Duties: Within the predetermined research scope and methodology, conduct research experiments in the field of tr-ARPES. Collect
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to tensor network states (e.g. DMRG, MCTDH, TTNS) and applying them to problems in theoretical quantum chemistry and theoretical chemical physics. Of particular interest are candidates who are interested in
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and the Center for Quantum Research and Technology at the University of Oklahoma (OU) is seeking a Postdoctoral Associate to perform research on precision measurements of parity violation in the weak
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on nuclear arms control, disarmament, nonproliferation, verification, and on the global security challenges associated with emerging technologies such as artificial intelligence, quantum technologies, and
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and analytics at scale to enable scientific discovery across the physical sciences, engineered systems, and biomedicine and health. It provides foundations and advances in quantum information sciences