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of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including
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Requisition Id 16104 Overview: The Quantum Heterostructures Group is seeking outstanding candidates for a postdoctoral position in quantum information science. You will conduct experimental
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Requisition Id 16106 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research...
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Qualifications: PhD in chemistry, physics, computer science, materials science, or a related field with no more than five years of postdoctoral experience Preferred Qualifications: Experience in energy‑storage
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Preferred Qualifications: We are interested in candidates with general research experiences in quantum optics and quantum information science. Priority is given to candidates with experience on the design
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of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including
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complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research
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Computer Science, Data Science, Computational Science, a scientific domain relevant to AI (e.g., physics, biology, chemistry, climate), or a closely related field (within the last 5 years or near completion
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the Quantum Science Center, a Department of Energy (DOE) National Quantum Information Science Research Center. In this multi-institutional cross-disciplinary center, the successful candidate will engage with a
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, applied mathematics, computer science, or a closely related field, completed within the last five years. Demonstrated expertise in computational methods such as finite elements or finite volume techniques