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materials science applications and algorithms for OLCF supercomputers Develop and apply advanced, compute-intensive materials simulation methodologies to study the fundamental properties of molten salt
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, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS, MS or PhD
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-preservation algorithms. The successful candidate will develop cutting-edge differential privacy techniques for large-scale models across multiple institutions. This position offers a unique opportunity to work
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methods to nuclear nonproliferation challenges. Develop, evaluate, and apply data-driven algorithms, selecting appropriate analytical approaches based on problem characteristics, available data, and mission
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, engineering or a related field or a PhD in mathematics, computer science, engineering with relevant experience. Preferred Qualifications: The following are a list of preferred qualifications, but not required
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-flows. Basic Qualifications: An MS in mathematics, computer science, engineering or a related field or a PhD in mathematics, computer science, engineering with relevant experience. Preferred
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-flows. Basic Qualifications: An MS in mathematics, computer science, engineering or a related field or a PhD in mathematics, computer science, engineering with relevant experience. Preferred
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-flows. Basic Qualifications: An MS in mathematics, computer science, engineering or a related field or a PhD in mathematics, computer science, engineering with relevant experience. Preferred
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algorithms at scale on ORNL's computational resources, including the Frontier supercomputer, addressing critical challenges in science and engineering. Communicate and coordinate experimental results with
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Computing Methods for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity computational models and systems using algorithms and analytics for materials and