48 algorithm-"Multiple"-"U"-"Simons-Foundation" "Prof" positions at University of Groningen
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analyzing experimental data. Has demonstrable affinity with the topic of sustainable consumer behavior. Has excellent communicative and project management skills to handle the multiple stakeholders involved
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specialist collaborator to guarantee adequate integration of perception and action; advanced motion-planning and control algorithms, continuously refined via robotic digital twins, enable reliable handling
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moving to Groningen. Unsolicited marketing is not appreciated. Information For information you can contact: Prof. dr. Y.T. Pei, y.pei@rug.nl (please do not use the email addresses above for applications)
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embedded in the research programme of FEB’s Research Institute. The project will be supervised by Prof. Robert Lensink (Faculty of Economics and Business), email: b.w.lensink@rug.nl , Prof. Han Olff (Faculty
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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
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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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for partners of new faculty members moving to Groningen. Unsolicited marketing is not appreciated. Additional comments Prof. dr. Lorenzo Squintani l.squintani@rug.nl Website for additional job details https
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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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for partners of new faculty members moving to Groningen. Unsolicited marketing is not appreciated. Information For information you can contact: Prof. dr. Iris Vis, i.f.a.vis@rug.nl (please do not use the email
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the department of Experimental Psychology at the Faculty of Behavioural and Social Sciences. The candidate will work under the shared supervision of Prof Dr Jelmer Borst (Artificial Intelligence) and Prof Dr Elkan