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(PGMOL). This fully funded PhD provides an exciting opportunity to pursue postgraduate study within Manchester Metropolitan University’s Institute of Sport, which is equipped with state-of-the-art sport
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. The PhD studentship will focus on collecting data relating to growth, maturation, and talent identification to support the youth national coaching and sport science staff. The successful candidate will
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youth national coaching and sport science staff. The successful candidate will: Develop audits of current scientific information on growth, maturation, and talent identification that are used to inform
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the academy department, to support the male youth academy coaching and sport science staff and conduct talent identification-related research. The successful candidate will develop audits of the current
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talent recruitment in high-performance sport moves towards more data-driven forecasting models there is a need to understand how we combine both objective and subjective information to make more accurate
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Metropolitan University’s Institute of Sport, equipped with state-of-the-art sport science testing facilities. The preferred candidate will also work closely with the PGMOL to develop and implement valid
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outstanding data analysis and coding skills. A minimum of an honour’s degree at first or upper second-class (2:1) level in sport and health disciplines is required. A solid foundation in Magnetic Resonance
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of sports science and data science. The PhD will apply cutting-edge AI techniques to the data captured in soccer game situations and a multi-modal approach is proposed to extract actionable insights from
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-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline (physics, mathematics, computer science, AI, data science or statistics). Strong candidates with sports science
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individuals. The studentship will appeal to students with a sports and exercise science, psychology (exercise or health), public health, or technology-based background. The project is part of the Digital