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response to upset conditions in the data centers. Operators are trained to the Computational Science Building Computer Center Operations Emergency Response Plan and Emergency Response Checklists. Upset
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. Directly contribute to the laboratory’s vision of advancing breakthrough fusion and fission energy systems that are pivotal to the nation’s energy future. Develop new projects and programs by leveraging
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, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties
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closely with a focused group of scientists, technicians, and engineers on ambitious, fast paced technical projects in support of the DOE Isotope Program. This has been a quickly expanding program at ORNL
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. Technical Leadership & Mentorship Provide technical guidance, code reviews, and pair programming support to a team of 8-12 engineers. Contribute to onboarding, team documentation, and process improvement
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee
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, safety, health, and quality program requirements. Uphold strong values and ethics in collaborative research. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values
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Abuse (WSAP) testing designated position. WSAP positions require passing a preplacement drug test and participation in an ongoing random drug testing program
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of materials across metallic, ceramic, and composite systems. The Alloy Behavior and Design research in MSTD supports missions for multiple program offices within the U.S. Department of Energy (DOE), including
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data analytics using tools in programming languages such as Python, PyTorch, Pandas, Scikit Learn, etc., in applied problem-solving contexts. Understanding of machine learning algorithms (gradient