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, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According to an independent research visitation, we are one of the foremost computer science departments of the Netherlands. We strive
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-ACCENT project aims to fill this gap by combining insights from cognitive psychology, neuroscience, AI engineering, human-computer interaction and social science, with lifespan perspectives. Using advanced
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consequences of these effects are still poorly understood. The HUM.AI.N-ACCENT project aims to fill this gap by combining insights from cognitive psychology, neuroscience, AI engineering, human-computer
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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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of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According
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Science Institute in the Faculty of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and
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Engineering at the University of Groningen. The preferred starting date is no later than 1 February 2026 The application should include: A letter of motivation to apply for this position. A curriculum vitae. A
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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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technology developers and stakeholders. Conducting prospective environmental impact assessments (LCA PhD) or dynamic MFA and circularity analyses (MFA PhD). Collaborating with consortium partners on data