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hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications spanning
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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Programming Systems R&D: Contribute to DOE goals of enabling performance‑portable high‑productivity languages (Python/Julia/Rust) and evaluate the emerging role these languages and frameworks within scientific
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, investigation of radiation–matter interactions, evaluation of material performance under extreme conditions, and the development of innovative approaches to improve the efficiency, selectivity, and durability
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, and physics based computational modeling of joining processes or performance of welded structures. As a postdoc, you will conduct research and development at the forefront and often at the intersection
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membrane fabrication, quantum transport, neutron/x-ray scattering, and spectroscopy. You will perform cutting-edge research on correlated quantum heterostructures, including epitaxial synthesis by pulsed
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simulation software related to radiation transport and computational fluid dynamics. Conduct performance profiling of existing scientific software to identify bottlenecks and implement strategies for improving
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the most challenging problems faced by the nation. You will perform groundbreaking research on a wide range of significant problems, and you will apply your work to exciting research in multi
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, with primary responsibility for performing advanced rotor dynamic analyses and leading the research and development of next-generation modeling capabilities. This role focuses on improving the fidelity
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security. We utilize our expertise in numerical discretization techniques, high performance computing, mesh generation, and geometry representation for a wide variety of physics applications. Our intention