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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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, tailored, complex materials such as advanced polymers or polymeric formulations, catalysts, mechatronic devices and software and algorithms. Design, control and modelling and analyses complement
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machines that will lead to demonstrations with practical relevance. Specifically, this project in the group of prof. Feringa aims to address two key challenges: 1) How can we amplify the work of molecular
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the Faculty of Spatial Sciences at the University of Groningen, in the Cultural Geography unit. Supervisors are Prof. Martijn van der Heide (nature-inclusive rural development and environmental economics) and
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teaching skills. You will work with the following supervisory team: Dr Smith Mehta (co-supervisor) Dr Stacey Copeland (co-supervisor) Prof dr Susan Aasman (promoter) The PhD Project This PhD project
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candidate will be supervised by Prof. Francesco Maresca, chair of the Mechanics of Materials unit of the Engineering and Technology institute Groningen (ENTEG). Organisation Founded in 1614, the University
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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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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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. Unsolicited marketing is not appreciated. Information For information you can contact: Prof. dr. H. Broekhuis, Manda, h.broekhuis@rug.nl (please do not use the email addresses above for applications)