672 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" PhD positions in United Kingdom
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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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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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. 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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infrastructure. This project sits at the interface of environmental engineering, water quality management, and sustainable infrastructure. This PhD project will explore how ICWs can be strengthened through design
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Specified use The awards are available on a competitive basis for candidates joining the PhD Accounting & Finance, PhD Business & Management or PhD Science, Technology & Innovation Policy programme at
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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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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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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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of 5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How
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/Biostatistics, Data Science, Life and Social Sciences or Medicine (with substantial component and/or experience in quantitative methods), Applied Mathematics, Computing, Quantitative biology, Bioinformatics