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experts in machine learning, digital signal processing and computational auditory neuroscience on new algorithms for real-world, spatial audio representation learning. In this multidisciplinary PhD project
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of visual decision-making, sensory uncertainty, and decision confidence. Research methods include computational modelling, brain imaging (fMRI, MEG), machine learning, behavioural methods, and other
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for Science in Society (ISiS) as one of two PhD candidates! The first PhD project mainly involves a quantitative social science study of how the transformative developments affect the content of peer review
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Research Infrastructure? No Offer Description Are you interested in a project at the interface between physics, machine learning and neuromorphic computing? Do you thrive for both fundamental and societal
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, and decision confidence. Research methods include computational modelling, brain imaging (fMRI, MEG), machine learning, behavioural methods, and other techniques. Virtually every decision we make comes
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) to large-scale processes (cognition, behaviour) and from experimental to big data analysis, computational modelling and advanced machine learning. The Donders Centre for Neuroscience (DCN) is part of
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of this PhD project is to develop, build and operate a vacuum compatible exfoliation center for the creation of heterostructures constructed from reactive 2D materials. Recently, two-dimensional (2D) materials
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deeply and critically? If so, this position may be for you. In this PhD project, titled ’Cognitive capacities and machines: Why do calculators exist, if AGI cannot?’, you will adopt various theoretical and
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you an aspiring computer science researcher interested in what can be done to make our digital world more secure? Then you have a part to play as a PhD candidate. By investigating techniques to design
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learning techniques are increasingly required. The Radboud astrophysics group has extensive expertise, for example in star and stellar-population models; machine-learning techniques for the extraction