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engineering, chemical engineering, or a related field completed within the last five years Quantitative and analytical research background which can be applied to conduct research analysis on advanced
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grid analytics, and scientific imaging. The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional
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in manufacturing energy use, process systems, or industrial emissions reduction technologies. Possess an excellent quantitative and analytical background acquired through PhD research, which can be
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and analytics at scale to enable scientific discovery across the physical sciences, engineered systems, and biomedicine and health. It provides foundations and advances in quantum information sciences
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, systems biology, bioinformatics, bacterial physiology, and analytical chemistry at ORNL and at partner institutions. You will also craft and complete laboratory experiments, analyze quantitative data, and
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byproducts from used fuel reprocessing and recycling to stable and reusable forms. The work will involve wet chemistry, analytical characterization techniques, and flow sheet development. The FCCT Research
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. Demonstrated experience working with machine learning and data analytics using tools in programming languages such as Python, PyTorch, Pandas, Scikit Learn, etc., in applied problem-solving contexts
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on resilience, data analytics, protection, and EMT simulation research. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s
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emerging at the grid edge, providing essential services crucial to its reliable operation. Employing a diverse range of disciplines such as control theory, optimization, economics, game theory, data