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methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and
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methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and
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the research project, Dr Ricky van Oers (Assistant Professor of Sociology of Law and Migration Law), Prof. Ashley Terlouw (Professor of Sociology of Law) and Nesli Soylu (PhD candidate). CMR is part of
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understand data, and then make useful predictions based on it. These algorithms integrate insights from various fields, including statistics, artificial intelligence and neuroscience. To find more information
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and computing, to apply. One position will focus on the scaling, calibration, operation, and tuning of spin qubit arrays using algorithmic techniques, as part of an international project, with
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their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and research is inclusive. Information Enquiries can be made to Prof
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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neuroscience and autism research. You will work in this team You will join a dynamic, interdisciplinary team led by Dr. Joe Bathelt, in collaboration with Prof. Hilde M. Geurts and Dr. H. Steven Scholte. Our
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This is a fixed-term position (under the supervision of Prof Dimitris Ballas, Dr Wander Jager and Dr Richard Rijnks) from 1 July 2025 until 31 May 2026 and will involve the development and
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profile, experience and research proposal. Planning and autonomy: The objective is to study the state of the art of planning algorithms that would support onboard autonomous operations of a rover system on