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PhD candidate, Compliance by Design: Technical Challenges of EU AI Act Requirements and Their Ethica
Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD candidate, Compliance by Design: Technical Challenges of EU AI Act Requirements
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Irène Curie Fellowship No Department(s) Industrial Engineering and Innovation Sciences Reference number V39.7542 Job description Are you passionate about exploring the intersection of human
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at Resources and recycling, Faculty of Civil Engineering and Geosciences. The position focuses on developing innovative thermo-mechanical methods of recycling fine aggregates retrieved from construction and
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of Science Leiden and Leiden Institute of Chemistry (specifically the Catalysis and Surface Science department) are looking for a PhD candidate. Work and profile The Faculty of Science Leiden and Leiden
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Irène Curie Fellowship No Department(s) Industrial Engineering and Innovation Sciences Reference number V39.7543 Job description Can and should philosophers employ large language models or other
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Structures (ASM) of the Faculty of Aerospace Engineering (AE) and will be embedded within the Lightweight Composites and Structures project of the "Luchtvaart in Transitie" (LiT) initiative, which brings
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part of the Electrical Engineering, Mathematics,and Computer Science (EEMCS) Faculty. We are an innovation-driven and multidisciplinary team of early-stage and senior professors, postdocs, PhDs, and MSc
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partners. Strong applicants typically have backgrounds in computer science, statistics or econometrics but should have an intrinsic interest for marketing problems. The PhD will be supervised by Prof. Dr
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Are you passionate about pioneering research at the intersection of health technology, data exchange, and ethical considerations? Join us at the Information Systems group of Eindhoven University
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Linked Open Data. Human computation and citizen science: integration of citizen-contributed labels for cultural heritage objects with professional metadata and AI-generated labels; investigating bias