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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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in sport and exercise science, sport psychology, psychology, or another related discipline An ability to critique and analyse scientific evidence, methodology and data An ability to interpret and
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, validate and monitor their selection judgements and how these judgements complement the data analytics provided by the data science department. This PhD will address a complex problem and therefore will need
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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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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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adults: this phase of the project will establish a unique dataset by recruiting human volunteers to complete assessments in our research facilities. We will utilise advanced technology to determine
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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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the utilisation of the large data volumes captured of torso surfaces to better translate knowledge to support garments. The studentship will appeal to students with a sports engineering/technology or other relevant