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to watch video, or click here to open video) About the position We are looking for a PhD research fellow within “Distributed Optimization and Control of Reactive Power considering grid stability in
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tissues using nanoCT; characterization of fibrous biomaterial scaffolds, including porosity, fiber architecture and structural stability; standardization and computational analysis of biomedical imaging
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analysis of biological tissues using nanoCT; characterization of fibrous biomaterial scaffolds, including porosity, fiber architecture and structural stability; standardization and computational analysis
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reinforcement learning, learning-based adaptation and control, physics-informed machine learning, learning-enhanced model predictive control, control-theoretic safety and stability guarantees for learning-enabled
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-enhanced model predictive control, control-theoretic safety and stability guarantees for learning-enabled systems, and the integration of foundation models with autonomous robotic decision-making and control
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-making. Develop reproducible benchmarks and evaluation protocols covering predictive quality, explanation fidelity and stability, and computational efficiency. Publish results in peer-reviewed
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selectivity, the influence of solution chemistry and water composition, and the stability and degradation behavior of environmentally friendly reagents under realistic flotation conditions. The project will
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will feed into an automated stope design workflow, producing variable-length, locally adaptive geometries that optimize the balance between stability, recovery, and dilution control. Through