58 image-computer-engineering-"https:" "IMT Atlantique" Postdoctoral positions at Oak Ridge National Laboratory
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. The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) Section of the Computational Sciences and Engineering Division (CSED) is seeking two Postdoctoral Research Associates to join
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in ORNL’s Center for Radiation Protection Knowledge (CRPK). The candidate will work with experts in computational radiation dosimetry and risk assessment. The candidate should be an independent thinker
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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team
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. This position is in the Technology Integration group within NCCS. Specific areas of research interest include: Integration of memory encryption, confidential computing, and trusted execution environments on both
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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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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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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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system science and engineering. Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer
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Requisition Id 15537 Overview: We are seeking a Postdoctoral Research associate in computational nuclear physics. This position focuses on nuclear theory with an emphasis on nuclear structure and
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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