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collaboration with core facilities, we have optimized and generated single-cell and single-nucleus datasets on immune cells and tissue sections, providing a unique opportunity to explore neutrophil biology in
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data collected from a geothermal borefield in Brussels, modelling activities of subsurface heat transfers between borehole heat exchangers, and the development of strategies for the optimal integration
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indoor zones with each other and with the outdoors. This system dynamically adjusts airflow based on room conditions, user preferences, and environmental factors—offering a flexible and energy-efficient
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locally stored internal models of the environment. With existing edge solutions as baseline, a design solution will be explored to cope with the hardware constraints and the impact on energy
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optimized designs in actual resonant power converters using WBG semiconductors. The expected outcomes include a robust 3-D modelling framework, novel low-leakage magnetic layouts, and an advanced design
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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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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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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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markets and digital technologies in Luxembourg, together with several of the EU's main institutions and stakeholders that shape our energy transition. Located at the heart of Europe, the group consists
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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