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Hands on experience in the mechanical testing of metallic materials and associated theory Experience with destructive characterization and identification of metal alloy microstructures and underlying
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computational foundations of that capability and help bridge the gap between Bayes theory and practical application: knowledge integration, developing robust likelihood frameworks, sampler behavior for long
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National Laboratory (ORNL). This group leads the application of machine and cascade theory to develop, execute, and interpret testing evolutions for discovery, performance evaluation, and optimization
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National Laboratory (ORNL). This group leads the application of machine and cascade theory to develop, execute, and interpret testing evolutions for discovery, performance evaluation, and optimization
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chemistry, radiochemistry, theory, spectroscopy, and materials characterization. This project will develop materials and processing technologies that will result in a transformational improvement in
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related principles, theories, professional competencies. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service
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proven experience (MS degree in related field with 3 years of experience or PhD in a relevant field). Solid understanding of analog and digital circuits and electric circuit theory. Experience on planning
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and electric circuit theory. Visa sponsorship is not available for this position. Preferred Qualifications: Strong knowledge of power electronics, with practical experience from coursework or projects
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in condensed matter physics, or a closely related field completed within the last 5 years Extensive experience in neutron and/or X-ray scattering Experience in scattering theory, quantum many-body
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in Physics, Applied Mathematics, Computer Science, Electrical Engineering, or a related discipline. Familiarity with quantum computing and/or digital quantum simulation theory and practice. Familiarity