109 Computer Science Postdoctoral positions at Oak Ridge National Laboratory in united-states
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Requisition Id 13150 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative
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. This research program will take advantage of resources at ORNL including the Spallation Neutron Source (SNS) and the Center for Nanophase Materials Sciences (CNMS). The environment at ORNL is highly collaborative
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the industrial sector. Informing strategic planning, devising protocols and tools for onsite energy technology assessments, creating, and upkeeping tools and resources for the onsite energy program, and providing
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Communications and Networking Group with the Computational Science and Engineering Division (CSED), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL). Major Duties
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and industry partners focused on material research and development through computational modeling and multimodal characterization. As a U.S. Department of Energy (DOE) Office of Science national
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Requisition Id 13116 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have
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participate in program activities with funding dependent upon compliance with these requirements: Recipients are required to participate in the Actinide Science Lecture Series by both attending and presenting
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Structures and Processing Section, Materials Sciences and Technology Division, Physical Sciences Directorate at ORNL. More information about our research programs in this Section may be found at https
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impact on the program funding this work. Basic Qualifications: To be eligible you must have completed a Ph.D. in chemistry, physics, engineering, or a related field with in the last 5 years. Visa
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the Geospatial Science and Human Security Division (GSHSD) at ORNL. The group performs artificial intelligence, computer vision, and federated learning research initiatives, with emphasis on large scale geospatial