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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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Requisition Id 16284 Overview: We are seeking a dynamic and innovative Scientific Lead for developing Quantum-Accelerated High-Performance Computing (QHPC) capabilities. This role includes leading
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. This position resides in Systems Engineering and Cybernetics Group in the Computational Sciences & Engineering Division of the Computing & Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL
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challenges. Our research and development capabilities include radar and optics technologies, radio frequency (RF) communications, computational imaging, artificial intelligence / machine learning (AI/ML
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challenges. Our research capabilities include radar and optics technologies, radio frequency (RF) communications, computational imaging, artificial intelligence / machine learning (AI/ML), neuromorphic sensing
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and first-of-a-kind (FOAK) deployments This role emphasizes vision, technical direction, and program development. Major Duties and Responsibilities: Strategy and Program Development: Define and lead
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focuses on artificial intelligence and computational research and applies this knowledge to support the nation’s leading initiatives. We hire top researchers and engineers who are ready to tackle
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agents, select agents and toxins, government property, and personnel from malicious acts. Apply working knowledge of current versions of DOE O 473.1A, Physical Protection Program and DOE O 470.4C
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Requisition Id 16218 Overview: The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak