43 phd-computer-science-fully-funded Postdoctoral positions at Oak Ridge National Laboratory
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Qualifications: A PhD in condensed matter physics, material science, computational science, or a related field. Preferred Qualifications: Basic understanding of x-ray or neutron scattering is desirable but not
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a PhD in chemical engineering, nuclear engineering, or another relevant field. Experience in designing and conducting high temperature experiments for property characterization, high temperature
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Postdoctoral Research Associate - Energy materials synthesis and exploration with neutron scattering
: A PhD in material science, chemistry, or related field completed within the last 5 years. Preferred Qualifications: Basic understanding of synchyrotron x-ray or neutron diffraction/scattering is
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performance and availability of funding. Visa sponsorship is not available for this position. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
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require close collaboration with members of the Neutron Technologies Division, the Neutron Scattering Division and the Computer Science and Mathematics Division, as well as project members from other DOE
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manufacturing (AM) processes. This position resides in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science
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, and measure success. Basic Qualifications: A PhD in computational or theoretical physics, chemistry, materials science, or other closely related field completed within the last 5 years. Experience with
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, and measure success. Basic Qualifications: A PhD in condensed matter physics, materials science, or a closely related science discipline completed within the last 5 years A strong background in
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includes an emphasis on computation modeling. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing