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the Sustainable Systems Engineering (STEN) research group of the Department of Green Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University (UGent). The PhD student will contribute
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cooperation. You have an excellent knowledge of English, and you have very good knowledge of at least one other language, preferably Dutch, German or French, as you should be able to analyse historical sources
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Department: Department of Construction Engineering Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic, forward-thinking, European university. We
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the following elements: Abstract (max 250 words) The abstract of a PhD research plan should serve as a concise summary of the key elements of your proposed research. It should provide an overview
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internationally. Job profile You hold a Master’s degree in computer science, electrical engineering, (technical) cognitive science, Human-Computer Interaction or areas relevant to the research topic (for example
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programming. You are highly motivated to conduct (applied) research at the intersection of (deep) machine learning and the health sciences. You have good programming skills in languages such as Pythorch, and
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for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical
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policy choices on the overall carbon emissions of the stock. The aim of the research is to obtain a PhD diploma. You will be part of the UGent Building Physics research group (Faculty of Engineering and
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must have (or will receive in a few months) a Master’s degree in Computer Science Engineering, Master of Science in Information Engineering Technology, Master of Science in Computer Science, Master of
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards