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, self-starter, PhD student to run the follow up questionnaires and analyse the data. This offers an exceptional research opportunity to investigate the contribution of lifestyle factors, particularly
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the ergogenic aid. Further information: Applicants should have at least a 2:1 in a relevant degree (for example but not limited to Sport Science/Medicine/Rehab, Public Health, Medicine), and ideally a relevant
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of Sport, Exercise, and Nutrition Education – kimberely.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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system-level visibility. Combined with data-mining methods and embedding techniques, these approaches create opportunities to generate more informed and efficient design solutions. Aim The PhD will focus
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in a relevant subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging
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engineering knowledge. Funding support and Further Information Please discuss with Prof. Tao Yang Tao.Yang@nottingham.ac.uk for more details. View All Vacancies
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect
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Department: Faculty of Science AI Doctoral Training Centre The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for fully-funded PhD studentships to carry
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psychology, immersive technology and data analytics, whilst working closely with pladis to generate insights to shape products. The successful candidate will join the University of Nottingham’s Sensory Science
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical