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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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University is a logical choice for its staff and students. Within the faculty of Engineering and Architecture, the IDLab research group performs research on 1) connectivity and 2) data science & artificial
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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
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work at the Electrical Energy Laboratory in the Tech Lane Ghent Science Park in Zwijnaarde. Job profile You hold a master of science in engineering (technology), preferably in electromechanical
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on principles from engineering, cognitive neuroscience, artificial intelligence, and human-computer interaction. It has potential applications in education, training, and cognitive rehabilitation, and contributes
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are looking for one Doctoral fellow About CMET The Center for Microbial Ecology and Technology (CMET) (www.CMET.UGent.be ) is part of the Faculty of Bioscience Engineering at Ghent University, as well as part
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staff and students. Within the faculty of Engineering and Architecture, the IDLab research group performs research on 1) connectivity and 2) data science & artificial intelligence. In these research areas
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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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technology. You will experimentally test and refine various strategies to establish a robust and efficient protocol. Once successful, this method can be applied not only to genetic research in spider mites but
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collaboration with other PhD candidates and researchers with medical and engineering background, perform innovative research on the topic of surgical video analysis, with the goal of developing deep machine