58 computer-science-postdoc-"https:" "Inserm" Postdoctoral positions at Oak Ridge National Laboratory
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to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers, and disseminate innovative results through
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analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM
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complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research
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of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including
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Qualifications: Ph.D. in electrical engineering, computer science, or related discipline completed within the last five years. Demonstrated expertise in computed tomography (CT), with experience in sparse-view and
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Requisition Id 15408 Overview: Oak Ridge National Laboratory (ORNL) (https://www.ornl.gov/) is the largest US Department of Energy science and energy laboratory, conducting basic and applied
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conferences (e.g., NeurIPS, SC, AAAI, or domain-specific venues like Fusion Science or Computational Materials). Collaborative mindset in team environments and across disciplines. Special Requirements: Postdocs
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Requisition Id 15769 Overview: The Computational Hydrology and Atmospheric Science (CHAS) Group at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated Postdoctoral Research Associate
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potential for high-impact research contributions at the forefront of computational quantum many-body physics. This position resides within the Computational Chemistry and Nanomaterials Sciences group in
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reasoning using cutting-edge AI agents and toolkits. Your contributions will accelerate cross-disciplinary scientific progress across climate modeling, computational chemistry, additive manufacturing, and