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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-POSTDOCTORALRESEARCHASSOCIATE2 [#27206] Position Title: Position Location: Oak Ridge, Tennessee 37831
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classification policies, laws, and statutes. Advanced knowledge of a wide range of principles, theories, professional competencies & application techniques of discipline, related disciplines, and organization
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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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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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, or graph-based encodings in materials and molecular AI. Familiarity with frameworks for automated and reproducible workflows. Knowledge of governing regulations around privacy (e.g., HIPAA, ITAR), including
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Requisition Id 16180 Overview: Oak Ridge National Laboratory is currently accepting applications for the position of Group Administrative Assistant, providing administrative support to science and operations organizations. This is an Evergreen position. We are continually reviewing applications...
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, a strong emphasis in delighting customer and end-user needs. Preferred Qualifications: Active DOE Q clearance. Understanding of multidimensional and tabular modelling, vector databases, Graph DB
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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
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of emerging architectures and performance for advanced computing. This position resides in the Architectures and Performance Group in the Advanced Computer Systems Research (ACSR) / Comuter Science Mathematics
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mathematically rigorous approaches to optimize the trade-off between privacy and utility especially in the context of large models. Advance knowledge of key AI methods such as deep learning, algorithm design