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, Teamwork, Safety, and Service Basic Qualifications: A Ph.D. degree in Mathematics, Computer Science, Physics, Chemistry, Engineering, or a related discipline. A strong foundation in linear algebra (tensor
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coupled with artificial intelligence, applied mathematics and statistical sciences with an emphasis on applications relevant to the DOE mission space. This position is within the Mathematics in Computation
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computing, for applications with scientific and national priority. ORNL’s mathematics research efforts provide the fundamental mathematical methods and algorithms needed to model complex physical, chemical
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a scientific, statistical, mathematical, informatics, engineering, or related quantitatively oriented field. Minimum 2 years prior experience in occupational health, industrial hygiene, or working
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Qualifications: BS/BA degree in engineering, physics, mathematics, chemistry, international studies, or related field and five (5) years of relevant experience. Experience evaluating technologies and technical
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connected through a unified digital thread platform that captures multimodal, high-frequency data across the full manufacturing lifecycle, from process execution to post-process characterization
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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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Qualifications: An MS in computer science, mathematics, or a related field completed within the last 5 years. A BS degree and at least 2 years of relevant research experience will also be considered. Familiarity
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we treat one another, work together, and measure success. Basic Qualifications: Analytics and Technical Skills BS/BA degree in a scientific, statistical, mathematical, informatics, engineering, or
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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and