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data mining algorithms that can integrate and combine multi-modal data acquired from a variety of sources (smart watch sensors, spatial maps, building information sources (drawings and digital models
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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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of application. Proof of English proficiency About the department The PhD student will join CAES, a group working on the most efficient and effective computer architectures of the future, from large-scale data
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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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together 58 partners from research and industry , we are looking for a PhD candidate to develop an electrochemical + thermomechanical cell and stack model of the large active area SOEC technology developed
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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