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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
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
, Northwestern University, and Lawrence Berkeley National Laboratory to address grand challenge problems in materials for next-generation microelectronics applications. The position resides in the Theory
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that demonstrably accelerate scientific discovery. Architect and operate federated and collaborative learning experiments spanning multiple sites (national labs, universities, industry) with secure aggregation