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interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: A PhD in in condensed matter physics, theoretical physics, quantum information, or a closely related
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-disciplinary teams, deliver manuscript first-drafts, mentor visiting students as opportunity arises. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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length scales Develop machine learning algorithms to support process optimization, predictive modeling, and intelligent manufacturing control Integrate simulation tools with in-situ sensor data from
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presentations in large public forums Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity
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aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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and able to participate creatively in defining and refining research directions. Major Duties/Responsibilities The successful candidate will interact with a team of scientists and engineers at ORNL in a
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and instrumentation, controls, data science, and robotics along with close interactions with industry partners. These engagements will play a vital role in ensuring success of programs and the adoption
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reports. Publish and present research results in peer-reviewed journals and at conferences. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact