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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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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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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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phase space distributions, including high dynamic range and high dimensional (6D) measurements. Contribute to improved measurement and analysis procedures. Perform simulations to understand beam evolution
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phase space distributions, including high dynamic range and high dimensional (6D) measurements. Contribute to improved measurement and analysis procedures. Perform simulations to understand beam evolution
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/Responsibilities: Collect and analyze data from past weather-related natural gas supply disruptions and study their impacts. Perform modeling and simulations to assess system performance under cold stress conditions
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, to identify and accelerate technological and policy options. Activities will involve: 1) data collection, processing, and quality assurance; 2) development and simulation of energy system models, data science