54 assistant-professor-computer-science-data Postdoctoral positions at Oak Ridge National Laboratory
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Requisition Id 14889 Overview: We are seeking a Postdoctoral Research Associate who will focus on delivering groundbreaking computational chemical and materials science at the forefront
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, materials science, physics, chemistry, chemical engineering, or related disciplines. Preferred Qualifications: Experience with nuclear fuel or materials. Experience with XCT imaging. Experience with 3D data
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Requisition Id 15028 Overview: We are seeking a Postdoctoral Research Associate – Chemical Engineering to support research activities within the Isotope Applications Research Group (IARG) at Oak
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A Ph.D. in evolutionary biology, ecology, plant biology, genomics, bioinformatics, computer science, plant
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success. Basic Qualifications: A PhD in theoretical or computational chemistry or closely related field in physical chemistry or chemical physics completed within the last 5 years. Demonstrated expertise
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success. Basic Qualifications: A Ph.D. in computer science, computational science, data science, artificial intelligence, or related field completed within the last 5 years or to be expected in 2025
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Requisition Id 14862 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver solutions
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-task efforts in molecular biology, NMR, dynamic nuclear polarization (DNP) and macromolecular crystallography, and collaboration with computational scientists developing ML and AI tools for molecular
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software engineers within the Computer Science and Mathematics Division, providing an opportunity to work in a stimulating multidisciplinary environment. Major Duties/Responsibilities: Perform neutron
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image