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development/implementation of integrated, physics-based multi-scale simulations, virtual manufacturing Follow team planning, documentation, verification and validation. Collaborate within a multi-disciplinary
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-of-the-art sparse algorithm in matrices, tensor and networks for large-scale numerical, scientific and AI models and disseminating findings through publications and presentations in top-tier peer-reviewed
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secure critical infrastructure for all. Major Duties/Responsibilities: Conduct research on grid resilience assessment methodologies, including modeling and simulation of grid operations under stress
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certifications in the field of energy efficiency. Familiarity with industrial processes, building science, heating and cooling technologies, and mechanical systems and controls. Familiarity with numerical
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maturation, characterizing performance and properties of nuclear fuels and materials, and generate the data to advance physical modeling and simulation. The primary function of this open position is to perform
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working in radiological environment. Experience in heat transfer and thermal modeling/simulation using finite-element analysis (FEA) or other software. Ability to work within a multi-disciplinary team
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dynamics simulations to investigate photoinduced processes and connect them to timescales obtained from nonlinear electronic spectroscopic measurements Plan and conduct simulations and work with
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, molecular dynamics simulations using ab initio and machine-learning potentials, and the development or application of machine-learning tools for feature extraction, property prediction, and inverse molecular
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: Experience in radiological risk assessment Experience in biokinetic model development Experience with Monte Carlo radiation transport software and applications Experience with numerical computing using
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record of productive and creative research demonstrated by publications in peer-reviewed journals and presentations at major conferences. Familiarity with numerical data analysis and customization