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across DOE laboratories, universities, and partner agencies to broaden the applications of AI-enabled hydrological modeling. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with
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at national and international conferences. Engage with collaborators across DOE laboratories, universities, and partner agencies to broaden the applications of AI-enabled hydrological modeling. Ensure
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network of universities, national laboratories, and industrial partners to develop a scientific ecosystem for fault-tolerant quantum-accelerated high-performance computing (QHPC). Major Duties
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to correlate sensor data with process induced defects, microstructure, and material performance. Interact with industrial partners, other research organizations, and universities related to advanced