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vibrational Non-Destructive Testing (NDT) methodology for quality assurance in metal AM. By going beyond the state-of-the-art, we aim to optimize AM benefits, particularly for complex geometries. Insights
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ligand testing workflows for CuH-catalyzed hydrofunctionalizations; 2) build data-driven predictive models for catalyst activities and selectivities; 3) implement closed-loop ligand optimization
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for quality assurance in metal AM. By going beyond the state-of-the-art, we aim to optimize AM benefits, particularly for complex geometries. Insights gained will enhance the understanding of AM variability
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Intelligence with the topic of modular control system design using assume-guarantee contracts. The candidate would become a member of the Systems, Control, and Optimization group of the (Applied) Mathematics
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Systems, Control, and Optimization group of the (Applied) Mathematics Department and will work under the supervision of Prof. Bart Besselink. The successful candidate should Have a keen interest in pursuing
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, feedback optimization, distributed control, consensus protocols, nonlinear control, robust control, with application to energy systems (e.g. smart grids, district heating, hydrogen networks) and traffic