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on ab initio data to accurately model the thermodynamic and thermophysical properties of complex materials. Conduct molecular simulations to elucidate the thermodynamic and structural basis of enhanced
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success. Basic Qualifications: PhD in energy engineering, mechanical engineering, electrical engineering, industrial engineering, or a related field completed within the last five years. A strong foundation
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of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, industrial engineering, electrical engineering, environmental
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another, work together, and measure success. Basic Qualifications: A PhD in Geology, Chemistry, Geochemistry, Radiochemistry, Cosmochemistry, Biochemistry, or a related field completed within the last 5
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in building science, architecture, mechanical engineering, construction, or closely related
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techniques (such as, large language models) in the neutron powder diffraction data life cycle. This work will be conducted collaboratively with other scientists within the Neutron Scattering Division and
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Requisition Id 14907 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is
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, work together, and measure success. Basic Qualifications: A PhD in engineering, computer science, or a related field completed within the last five years. Expertise in systems dynamics and controls
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completed a PhD in chemistry, physics, engineering, or a related field within the last 5 years. Preferred Qualifications: Experience with electrocatalytic reaction engineering for organic waste streams