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Requisition Id 15603 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of HPC
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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architectures Collaborate across interdisciplinary teams spanning biology, chemistry, computer science, and applied mathematics Publish findings in high-impact journals and present at leading conferences Required
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that span data acquisition, modeling, and decision-making, including deployment at the edge and across distributed systems. You will have access to extensive experimental and computational resources and will
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configuration of equipment affecting safety critical systems. Ensure and monitor compliance with environment, safety, health, (ESH) and quality assurance (QA) program requirements Promptly identify and
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architectures Collaborate across interdisciplinary teams spanning biology, chemistry, computer science, and applied mathematics Publish findings in high-impact journals and present at leading conferences Required
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procedures necessary for inspection, calibration, installation, and maintenance so that work can be performed in a safe, compliant, and effective manner minimizing interruptions or negative impact on customers
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Analyst. This position will be responsible for providing programmatic and technical support and expertise to the ORNL Classification Program. In this position, you will assist the Classification Officer in
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learning and artificial intelligence techniques applied toward AI security, biometrics, computational imaging, and energy infrastructures. Major Duties/Responsibilities: Initiate, lead and perform