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boundaries of system-level modelling, analysis, design, exploration and synthesis beyond the current state-of-the-art? Or are you curious to learn more about the application of AI for system design? We
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communication skills to collaborate smoothly with international colleagues. Nice to have: Practical experience with machine-learning frameworks (e.g., PyTorch). Prior tape-out experience (ASIC or a complex FPGA
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-edge computational infrastructure, and structured methodological support will foster impactful research. The ADORE programme encourages cross-disciplinary learning, international collaboration, and
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-empowering AI systems. The project spans domains such as healthcare, mobility, education, law, ethics, and public governance. This position is a collaboration between Utrecht University and the University
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Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from
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the University of Amsterdam, the PhD candidates will have the opportunity to establish research connections with international collaborators. The PhD candidates will conduct their research under the supervision
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skills in English (C1); good communication skills and a willingness to collaborate within an interdisciplinary research programme. Dutch proficiency (B2), or willingness to learn Dutch, is required due
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the role and function of active mobility (walking, cycling) and micro-mobility options (e.g., moped) to improve health and enhance sustainable mobility options. The collaboration with different European
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skills and a willingness to collaborate within an interdisciplinary research programme. Dutch proficiency (B2), or willingness to learn Dutch, is required due to the fieldwork and Dutch-language sources
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collaboration between Wageningen Livestock Research, Stichting Koninklijke Rotterdamse Diergaarde en Koninklijke Burgers’ Zoo, and funded as Public-Private Partnership by the Dutch Ministry of Agriculture