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provide intuitive, human-interpretable explanations for complex model predictions derived from Earth Observation data, including high-resolution satellite and aerial imagery. You will engage in a
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incorporates data-driven methods to optimise large-scale renovation flows (Verbouwstromen). By bringing together contractors’ resources, clusters of buildings, and smart operations planning, PRE-MADONA
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1.5m buildings and 7m homes by 2050. Existing approaches in practice are too slow and inefficient to meet these targets. The PRE-MADONA project develops a game-changing solution that incorporates data
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design, coordination) and non-technical (e.g., streamlined governance and re-engineered processes) natures. The PRE-MADONA project offers a game-changing solution by leveraging data-driven methods
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of the processing system online. Our approach will be to draw on a broad selection of tools including (deep) reinforcement learning, queuing networks, online algorithms and systems engineering. In addition, a large
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architectures of the future, from large-scale data-center servers to low-power/small-scale embedded systems. The group's research sits at the border between EE and CS, aiming to bridge any gaps between these two
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to the TopTreat consortium by analysing and optimising new personalized strategies for osteoarthritis diagnosis and care, based on collected clinical data and technological innovations (TopTreat-onderzoek artrose
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Vacancies PhD position (f/m/d): Large-scale weather effects in wind farm simulations Key takeaways This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop
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groundbreaking large-eddy simulation strategies for wind farm flows. Your research will develop novel LES to investigate the interaction among clouds on wind farm performance and atmospheric transport processes
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Key takeaways Minimally invasive surgery has revolutionized medicine by enabling interventions without large incisions, thereby significantly improving clinical outcomes. Such surgical techniques