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, analysis and visualization technologies, programming systems and environments, and system science and engineering. The Data and AI Systems Research Section has capabilities in the following areas: Learning
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Familiarity with Python programming Experience with modern software development practices to ensure code quality Experience with computational geometry Excellent written and oral communication skills Ability
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Familiarity with Python programming Experience with modern software development practices to ensure code quality Experience with computational geometry Excellent written and oral communication skills Ability
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Specialist will work as part of a team on the Oak Ridge National Laboratory’s SCIF Technical Security Program regarding technical surveillance countermeasures and TEMPEST activities. This position combines
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impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. You will work in a collaborative research and development environment
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concepts (roles, policies, and service accounts) in platforms like AWS, Azure, or GCP. Strong working knowledge of Linux system fundamentals and common network protocols Programming and scripting skills in
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bioenergy. The research supports missions for multiple program offices within the U.S. Department of Energy (DOE), including Office of Science, Office of Nuclear Energy, Office of Fusion, Hydrocarbon and
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performance for datacenter applications, especially Large Language Models (LLMs) Drive the discovery of opportunities for innovation in GPU, system, and data-center architecture by analyzing the latest data
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courses. Programs included are Electrical Safety, Hoisting & Rigging, Fall Protection, HAZWOPER, Confined Space, and various other Environment, Safety and Health-related topics. This position resides in
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structure, property, and function in support of the user program and theme science. Selection will be based on qualifications, relevant experience, skills, and education. Functional Hybrid Nanomaterials