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Centrum Wiskunde & Informatica (CWI) has a vacancy in the Machine Learning research group for a talented 2 PHD-STUDENTS IN NEUROAI OF DEVELOPMENTAL VISION (M/F/X). Job description The Curriculum
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Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on developing a novel AI-powered conversational
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We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only
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Institute of Health of Mozambique, the University of Witwatersrand of South Africa, the University of Melbourne, Australia, and Queen Mary University of London. About the Position The student will enrol in a
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. The research will combine computational modelling, experimental validation, and machine learning techniques to develop a predictive phenomenological PAC model. The successful applicant will develop and apply
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We invite applications for a fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is available to UK (Home) candidates only
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reliable, regardless of where and how they are acquired. The PhD candidate will be working between two academic research centres (London South Bank University and University College London) with substantive
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George’s, University of London. We take great pride in our outstanding research, teaching and consultancy services. Our concern is for how technologies entangle in the many and varied forms of life, and the
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across City St George’s, University of London and from the University of Warwick. There are places available to study at both Universities: as a DIVERSE CDT student, you will collaborate as a cohort across
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 21 hours ago
of Dresden, Faculty of Psychology (TUD) Institute of Cognitive Neuroscience, University College London (UCL), UK Teaching language English Languages Courses are held in English (100%). Full-time / part-time