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. This position will help us to advance our knowledge about how humans learn to trust AI systems, including ways in which they can fruitfully critique and challenge them. The successful candidate will work closely
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) Country Sweden Application Deadline 31 Oct 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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The Department of Agroecology at Aarhus University, Denmark, invites applications for a one-year, full-time Research Assistant position, starting 1st of January 2026 or as soon as possible
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Principal Investigator Dr. Lingfei Wang is an Assistant Professor in the Department of Genomics and Computational Biology at UMass Chan Medical School. With a Ph.D. in theoretical physics, his research
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information about this vacancy or the selection procedure, please contact Ewoud Smeur, Assistant Professor, via e.j.j.smeur@tudelft.nl . Application procedure Are you interested in this vacancy? Please apply
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to extend these approaches towards new tools and organ systems to better understand how human immune cells interact with α-synuclein pathology in the earliest events of Parkinson’s disease. Position Lead an
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fundamental and applied research in different areas of Human-Computer Interaction (HCI) such as visualization, human-centered design, privacy, graphical design, and human-centered AI. We are looking
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the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025. Appointments are for one
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illusions of understanding of scientific knowledge arise. This position will help us to advance our knowledge about how humans learn to trust AI systems, including ways in which they can fruitfully critique
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subdivisions of the squamate body plan. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data