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Field
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, primarily for recycling used nuclear fuel to support the deployment of advanced reactors. The selected candidate will develop and optimize novel separations chemistries to recover actinide and rare earth
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AI-driven decision making. It will be conducted in collaboration with the Automatic Control group (from Department of Electrical Engineering) and the Mathematical Optimization group (from Department
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to study important processes like reversible photopolymerization and click-polymerization. Finally, we will use the information-rich data provided by I-TR-NUS&TR-L to make the automatic optimization setup
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screening, and automated experimentation to accelerate materials discovery and optimization. The researcher will work across the groups of Prof. José Berrocal and Prof. Carla Casadevall at ICIQ and interact
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system for stroke rehabilitation, test and optimize it with patients, retrain the stimulation-control algorithm for stroke-specific gait, and evaluate usability, comfort, and fit during prolonged use. You
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robotics – reinforcement learning, whole-body model predictive control (MPC), and differentiable optimal control – to simulate human balance and step recovery in urban transport scenarios. The goal is a
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Rearing & Bioconversion Trials Design, execute, and manage controlled BSFL rearing experiments using Sargassum-based substrate blends at UM's Experimental BSFL System. Implement and evaluate arsenic
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, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the COMMLab, the 6GSPACE Lab, the HybridNetLab, the QCILab
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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habitual control. It will then test how acute stress alters these processes, combining behavioral performance, physiological monitoring, movement-based phenotyping, and advanced statistical and computational