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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
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of AI for science, including scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models on leadership-class supercomputers. You’ll help design
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reactor systems, modern nuclear instrumentation and controls, applied materials, advanced manufacturing and intelligent systems, biosecurity, transportation, modeling and simulation, and computing. Our
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, LeafWeb, Sapfluxnet, PSInet) to translate trait variation into model parameter priors and functional constraints, and to explore parameter relationships with environmental conditions Hybrid modeling
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of simulation software to model complex system flows in processes relevant to the nuclear nonproliferation mission space. You will be expected to be a heavy end user of the tools generated, participate in model
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senior technical staff to develop new motor concepts focused on achieving specified targets, both at a motor and system level. Be versant in various modeling and simulation programs as
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of AI for science such as: scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models on leadership-class supercomputers. You’ll help design, train
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manufacturing and intelligent systems, biosecurity, transportation, modeling and simulation, and computing. Our multi-disciplinary research teams are passionate about discovery and innovation as we create science
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, biosecurity, transportation, modeling and simulation, and computing. Our multi-disciplinary research teams are passionate about discovery and innovation as we create science-based solutions to complex security
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. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization. In this role, you will leverage large