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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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Science or a related field. You have experience in quantitative analysis of cognitive performance data. You have a demonstrable affinity with using mathematical models and/or machine learning methods. You are
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physics and materials sciences, artificial intelligence, computational and high performance computing, and computer hardware and software engineering. Together we aim to develop parallel Markov-chain Monte
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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