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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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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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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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, and physics based computational modeling of joining processes or performance of welded structures. As a postdoc, you will conduct research and development at the forefront and often at the intersection
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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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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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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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/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