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biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and
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the data science, process analytical technology, and chemical processing domains to address technology challenges for raidoistoope production and application. Major Duties/Rsponsibilities: Perform
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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data analytics, and manufacturing process optimization. Develop and apply models, algorithms, or data analysis workflows to support machining process understanding, machine tool characterization, process
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laboratory experiments, analyze quantitative data, and effectively communicate scientific results through publications and presentations. Major Duties/Responsibilities: Perform molecular genetics, synthetic
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science and engineering, physics, chemistry, electrical engineering, or a
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-efficient building systems, thermal-fluid processes, industrial heating applications, data center thermal management, and other emerging energy technologies. Develop and operate experimental facilities
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represent the organization by giving technical presentations to DOE program managers and in large public forums. Basic Qualifications: A PhD or equivalent experience in nuclear, mechanical, or chemical
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responses to current or imposed environmental conditions. Research may leverage: Laboratory, growth chamber and field experimental data, and/or new measurements to quantify molecular to ecosystem scale
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Center for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of new computational