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, artificial intelligence, or machine and reinforcement learning applications for power systems. Experience contributing to successful research proposals and sponsored R&D programs. Demonstrated ability
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into closed-loop control frameworks Test and validate control algorithms through simulation, hardware-in-the-loop testing, and/or physical testbeds Apply machine learning techniques to predict thermal system
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. Engage with the broader community for computational methods, artificial intelligence and machine learning, and real-world coupled physics applications. Deliver on ORNL’s mission by aligning behaviors
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ready. Integrate grid-edge measurements and system-level observations into unified workflows for DER aggregation and parameter identification. Apply machine learning techniques to improve DER/IBR model
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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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, machine integration, or automation hardware. Understanding of additive manufacturing processes and common challenges associated with system integration, process development, throughput, reliability, and
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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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and fixtures using hand and power tools. Duties and Responsibilities: Shape or cut materials to specified measurements, using hand tools, machines, or power saw. Read and comprehend specifications in
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systems (such as critical infrastructure, IoT, mobile devices, or vehicular systems), with a focus on hardware and low-level software. The overall program portfolio will support DOE, DoD, Intelligence