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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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and machine-learning-driven optimization frameworks for polymer composite manufacturing processes. This position resides in the Composites Innovation Group in the Manufacturing Science Division (MSD
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for computational methods, manufacturing, and materials science. 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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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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Postdoctoral Research Associate - Theory-in-the-loop of Autonomous Experiments for Materials-by-Desi
AI/ML surrogate models for inverse design of new materials and processes, incorporating simulated and experimental multi-modal datasets. Develop AI/ML approaches to bridge length- and time-scales in
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behavior, and materials performance under irradiation, thermal, and mechanical loading. Plan and perform thermophysical property measurements and integrate measurement results with modeling predictions
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workflows that enable reliable extraction of magnetic interactions from neutron and complementary measurements in a high-performance computing environment. Major Duties/Responsibilities: Develop and apply
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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 another
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and carbonation reactions in aqueous solutions, amorphous materials and at mineral-water interfaces. Collaborate with ORNL researchers on the design and execution of experiments to measure
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uniting national laboratories, academic institutions and industry partners, the QSC is endeavoring to advance American innovation and global leadership by enhancing the computational robustness, algorithmic