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chambers that are used for growing the tissues. One of the challenges in the facility is to handle large amounts of heterogeneous data, often coming from a variety of commercial and experimental systems
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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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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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sports education and regularly initiates moments of further training, intervision and team building. You are part of this. Information and application You can express your interest in this position by
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image analysis (segmentation, statistical feature extraction etc.) The project is part of a larger collaboration involving the Faculties of the University of Twente and a large industrial company
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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