56 computational-physics "https:" "https:" "https:" "https:" "University of Kent" research jobs at Oak Ridge National Laboratory
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Requisition Id 15435 Overview: We are seeking a Postdoctoral Research Associate, in computational nuclear physics. This position focuses on nuclear theory with an emphasis on fundamental symmetries
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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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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-POSTDOCTORALRESEARCHASSOCIATE1 [#27205] Position Title: Position Type: Postdoctoral Position Location: Oak Ridge
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to communicate research results through reports, publications and presentations. Experience in accelerator physics, including working in a control room, conducting accelerator-based experiments, and computational
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challenges facing the nation. The Computational Coupled Physics (CCP) Group within the Computational Sciences and Engineering Division (CSED), at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral
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algorithms needed to model complex physical, chemical, engineered and biological systems. ORNL’s computational science research focuses on extreme scale computing and data analysis, storage, visualization
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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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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devices for processing uranium-bearing and stable isotope compounds. The Mechanical Systems Modeling Group applies first principles and empirical approaches to advance the physics and engineering
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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