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on defined domains; Fast and scalable algorithms to fit the proposed models to data, with a theory that explains the convergence and success of these techniques; Detailed re-analysis of the performance
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quantum computing efforts will be critical. This position resides in the Materials Theory Group, Foundational and Quantum Materials Science Section, Materials Science and Technology Division (MSTD
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circuits. The successful candidate will join the multidisciplinary Quantum Heterostructures Group dedicated to developing and characterizing novel quantum devices in collaboration with theory and
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user community access to expertise and equipment for a broad range of nanoscience research, including nanomaterials synthesis, nanofabrication, imaging/microscopy/characterization, and theory/modeling
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science discovery, the research will pursue development of data pipelines using automated workflows, creation of multi-modal databases and novel ML-approaches that allow integration of different theory
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in predictions and compressed quantities of interest on defined domains; Fast and scalable algorithms to fit the proposed models to data, with a theory that explains the convergence and success