542 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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innovation, participatory design, human factors, creative methods and policy advocacy, with opportunities to collaborate across environmental science, economics, and activism. Entry requirements: Applicants
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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) degree (or equivalent) in a sport-related discipline or computer science. A keen and active interest in technology for sports performance analysis. Competent in using biomechanical techniques
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integrating machine learning, computational modelling, and experimental validation. The successful candidate will receive training in both computational and experimental biology within a highly collaborative
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Environment This studentship is based at the Centre for Vision, Speech and Signal Processing (CVSSP). CVSSP is: The largest UK research centre in its field Ranked 1st in the UK for Computer Vision research
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Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access
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. This PhD project will address these critical gaps through an ambitious translational research programme combining human studies with cutting-edge laboratory science. The student will design and lead a
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of Sport, Exercise, and Nutrition Education – kimberley.edwards@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: The overall theme
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: Interest in 3D printing, programming skills (e.g. Matlab), analytical chemistry, biochemistry/protein expression. This call is open to UK-Home students and to International students. Project start date and
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling