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, this research will offer unique knowledge for tailoring intervention and prevention programs in several youth contexts. This project is proudly supported by the youth platform JEZ!, and is a collaboration between
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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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genetics, cell biology, genomics, and bio-computing to unravel plant biological processes and to further translate this knowledge into value for society. Please visit us at www.psb.ugent.be for more
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techniques. User of engineering software and modelling languages, such as, Python, MATLAB Toolbox, LabVIEW, DaisyLab, C++….. Working in interdisciplinary environments, good contextual understanding
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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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) PhD degree at Ghent University) can apply. Exchange students cannot apply for this scholarship; This program is meant for students at the beginning of their PhD. To a limited extent, PhD students
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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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The Faculty of Engineering, Department Toegepaste mechanica, is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a doctorate, contains: The
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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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field (Bio-Engineering, Remote Sensing, Surveying, Physics, Geosciences, Environmental Sciences, Computer Science). Fluent in programming languages such as R, C++ or Python Prior experience with, or a