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carriers, lift fixtures, pressure vessels, process piping, confinement ventilation systems, and various tools for isotope research & production. Major Duties/Responsibilities: Define and record design
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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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of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems using techniques such as
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, the American Science Cloud, and the Oak Ridge Leadership Computing Facility (OLCF). Working within the Workflows and Ecosystem Services (WES) Group at the National Center for Computational Sciences (NCCS), you
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of activities involved in the documentation, design process, and mechanical engineering analysis of mechanical systems related to waste management subject areas in facilities, equipment, and transportation
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scientific capability, focusing on the co-evolution of algorithms, models, data, and computing architectures. Establish R&D priorities across: AI foundation models trained on scientific and simulation data
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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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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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, nuclear material tracking systems, and modeling and simulation tools that inform operational decision-making and policy. The Division collaborates extensively across ORNL and the broader DOE complex
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implementation of constitutive models within commercial and/or open-source finite element software is required. Preferred Qualifications: Demonstrated expertise in multi-physics FE simulations is preferred