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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division
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: To be eligible you must have completed a PhD in materials science, chemistry, physics, engineering, or a related field with in the last 5 years. Visa sponsorship is not available for this position
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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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Science, Applied Mathematics, Computational Science, or related discipline completed within the last five years. Demonstrated hands-on experience and understanding of developing and applying distributed intelligence
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materials such as the magnetoelectric, high entropy oxides, through neutron scattering experiments. Additionally, collaborative work will be performed with the aim of developing and applying machine learning
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/research-integrity Basic Qualifications: A PhD in chemistry, chemical, nuclear, or environmental engineering, geochemistry or a related field completed within the last 5 years. Experience in inorganic
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Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy
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success. Basic Qualifications: A PhD in condensed matter physics, materials science and engineering or a related field completed within the last 5 years. Expertise in ARPES or X-ray/neutron scattering