45 verification-computer-science Postdoctoral positions at Oak Ridge National Laboratory
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materials that may serve as model systems displaying quantum behaviors. It will also provide opportunities for collaboration with quantum computing efforts within the Quantum Science Center, guiding and
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Requisition Id 15656 Overview: The Geochemistry and Interfacial Sciences Group in the Chemical Sciences Division (CSD) at Oak Ridge National Laboratory (ORNL) invites outstanding applications for a
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
& Computation Section, Center for Nanophase Materials Sciences (CNMS), Physical Sciences Directorate (PSD) at ORNL and will be jointly supervised by Dr. P. Ganesh, Dr. Rama Vasudevan and Dr. Vitali Starchenko
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Requisition Id 15657 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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Requisition Id 15658 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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of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing
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Requisition Id 15434 Overview: The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory (ORNL) is seeking qualified applicants for a Postdoctoral Research
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Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related discipline completed within the last 3 years or to be expected in 2025. Demonstrated hands-on experience and
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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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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