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potential quantitative component using existing survey data (such as the LISS panel) is possible, offering the candidate the opportunity to apply mixed methods if suited to their research interests and
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position within a Research Infrastructure? No Offer Description This PhD project focuses on developing methods to assess the sustainability of nearly 100 nationwide AI systems within the National Lab
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project focuses on developing methods to assess the sustainability of nearly 100 nationwide AI systems within the National Lab on Education and AI (NOLAI). You will create methods to predict energy
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newly collected survey data, which you will link to CBS register data, using advanced statistical methods. The data collection will be executed by KBA in collaboration with NCO, but you will be involved
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Department of Mathematics at Radboud University is seeking an outstanding, highly motivated PhD candidate in Mathematics of Nonlinear Acoustics. As a PhD candidate, you will develop novel mathematical methods
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deep scientific curiosity, have excellent experimental and quantitative skills and possess a drive to learn and develop new methods and concepts. You have excellent verbal and written communication
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-cycle assessment to determine climate footprints, accounting for all emissions of the production, transport, and various end-uses. The prospective element allows assessment of technologies that are still
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area where the novel methods will be demonstrated. You will be part of the Probabilistic Graphical Models group at the Donders Centre for Cognition and of the interdisciplinary team of researchers and
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. Research methods include computational modelling, brain imaging (fMRI), machine learning, behavioural methods, and other techniques. Virtually everything we sense, think and do is uncertain. For instance
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on studies of visual perception and decision-making. Research methods include computational modelling, brain imaging (fMRI), machine learning, behavioural methods, and other techniques. Virtually everything we