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, including prior specification, likelihood formulation, posterior sampling, and assessment of convergence and model fit. Proficiency in Python and the scientific computing stack, with experience
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Materials (MsM) group of the Advanced Computing Methods for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity computational models and systems using
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experimental gas flow systems and gas analysis methods Computational or process modeling using tools such as Python, MATLAB, Aspen, COMSOL, Fluent, or OpenFOAM Experience with high performance computing
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development Experience with various operating systems, high-performance computing, and SLURM systems. Familiarity with nuclear nonproliferation goals, concepts, and approaches (e.g., international safeguards
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federated learning SOTA algorithms. Knowledge of distributed optimization and consensus algorithms. Knowledge of large models and hyper-parameter optimization. Knowledge of high-performance computing and its
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Monte Carlo radiation transport software and applications Experience with numerical computing using programming languages such as C++, Python, etc Author or co-author of open literature publications
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Sciences (NCCS), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) to perform leading-edge computational materials research and development. The scientific
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teams that are composed of ORNL researchers with various backgrounds (e.g., material science, neutron science, chemistry, manufacturing, computing, others). Interact and collaborate with researchers
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generative tools for automation of scientific discovery Expertise in using high-performance computing (HPC) platforms for delivering breakthrough scientific results A record of productive and creative