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, reliability, and autonomy Design and implement advanced control strategies (e.g., model predictive control, adaptive control, feedback/feedforward control, ML-based controls) for thermal system
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, from process execution to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive
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predictive analysis. Expereince with the Python programming language. Ability to work within a multi-disciplinary team environment on scientifically challenging problems. Demonstrated ability to communicate
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operations. A central emphasis will be developing, testing, and deploying connected-vehicle technologies and smart-infrastructure control in real-world settings to improve the energy efficiency of mobility
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knowledge integration, likelihood frameworks, sampler configuration and performance, convergence diagnostics, and posterior predictive checking. Contribute to the design, implementation, testing, and
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Particle Control (PEPC) group of the Fusion Energy Division at Oak Ridge National Laboratory. The PEPC group performs experimental and modeling work, focused on the boundary region of tokamaks
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and data fusion, agent-based modeling and digital twins, and predictive analysis for environmental and health applications. We are committed to recruiting and retaining highly motivated, creative