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at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According to an independent research visitation, we are one
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discipline (Data Science, Neuroscience, Biomedical Sciences, (Biomedical) Engineering, or a related field) with experience and a strong interest in 3D microscopy methods such as light-sheet fluorescence
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candidate is expected to: Conduct academic research in law, technology, and media values, culminating in a PhD thesis (based on a minimum of 4 papers); Present your research on academic conferences, expert
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water resources engineering , preferably with a strong numerical modelling foundation. proven proficiency, or willingness to develop, technical skills relevant to hydro(geo)logical modelling, which allow
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, Engineering or related field. A strong background/knowledge in machine learning and computer vision, natural language processing is a plus. Solid mathematics foundations, especially statistics, calculus and
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combining insights from engineering, planning, innovation, and transition studies, we explore the dynamics between infrastructure management, policymaking, and end-user behaviour. The knowledge we generate
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excellent facilities (e.g., multiple labs for experimental research, equipment for movement analysis and physiological measurements, as well as high-quality engineering support to develop custom-made
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. Your profile An MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science, Engineering or related field. A strong background/knowledge in machine learning and computer vision
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has joined forces with other top universities and networks worldwide to become a truly global centre of knowledge. Within the Faculty of Science and Engineering, a 4-year PhD position is available
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to develop intensified processes for CO2 conversion into sustainable synthetic fuels via cobalt-catalysed Fischer-Tropsch Synthesis (FTS), based on advanced catalysis and reactor engineering concepts