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systems (proteins, enzymes, membranes, and complexes) Integrate AI/ML approaches with physics-based simulations to accelerate discovery and improve predictive fidelity Contribute to cross-scale modeling
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Requisition Id 16264 Overview: We are seeking a Computational Fluid Dynamics (CFD) modeler to apply modeling tools to simulate the complex behavior of fluids at all scales to support isotope
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Design and implement scalable data engineering pipelines
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Design and implement scalable data engineering pipelines
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Experiment Analysis Advanced Detection Data Science and Modeling and Simulation for Nuclear Related Research Environmental Risk and Energy Analysis Experience with computational modeling and simulation tools
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/Responsibilities: Perform high-quality reactor physics modeling, simulation, and coupled thermal-hydraulic (T-H) analyses to support the HFIR safety basis, operational issues, and long-term upgrade projects. Perform
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and numerical algorithms for modeling and simulation of nuclear systems. Computational Nuclear Engineers within the RTHPCM group will work with group, section, and division members and external
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position in radiation dosimetry research. We seek a colleague with research interests in exploring radiation effects on humans using advanced simulation and computational approaches for radiation dose
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, optimize processes, and extract insight from complex datasets. Design and execute experiments informed by modeling and simulation, ensuring tight integration between computation and physical systems. Advance
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characterization, topology optimization, and real-time sensing. CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered