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tools and simulation models to (1) detect novel pathogens early through broad genomic screening, (2) support hospitals in mitigating the impact of pandemics through optimized data-driven decision-making
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consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based
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farm layouts with high specific power density through the co-optimization of array design and control strategies. This project is a collaboration with CNR-INM Institute of Marine Engineering in Rome
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model-based control tailored to systems like NudgeFlow. The framework decomposes the global control problem into smaller local problems for each zone or room, enabling independent optimization with local
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on the design, optimization, and implementation of integrated quantum sensor architectures. As part of a multidisciplinary team, you will explore innovative, energy-efficient approaches to precision sensing in a
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Department of Mechanical Engineering and the AI research group at the Vrije Universiteit Brussel (VUB) are looking for a PhD candidate to contribute to research on the optimization of a hybrid, laser-based
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for remote applications: A crucial aspect of this project will be the optimization and deployment of developed signal processing and machine learning algorithms onto resource-constrained edge devices
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behaviour in Luxembourg and beyond. EMUP will employ a data-driven approach and state-of-art methodologies to support decision-making for an optimal and smooth integration of the e-mobility sector, with
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steel and cemented carbides Conducting the previously defined experiments in lab and production environment on Laser welding machines Optimizing testing procedures and conducting testing
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modelling framework that can serve as a digital twin of the manufacturing process allowing for a faster and more precise optimization trough virtual engineering.You will work within a research team comprising