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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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computational models for quantum magnets and neutron scattering observables. Generate, document, and manage synthetic datasets (e.g. S(Q,ω), diffraction, thermodynamic data) for AI training and validation
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species. It can be fine-tuned for downstream applications such as predicting genetic perturbations, optimizing photosynthetic apparatus for performance, selecting top performing genotypes for various
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for the DOE Office of Nuclear Energy and National Nuclear Safety Administration, this position will grant you the opportunity to work with rare nuclear materials, and the unique facilities at ORNL, including