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One PhD studentship is available in the area of machine learning theory (statistical learning theory and deep learning theory) or theoretical-oriented topics, e.g., trustworthy machine learning
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variables and characteristics are sensitive to soccer match officials’ decision-making. Develop statistical models to explain and predict decision-making in soccer matches. SPECIFIC REQUIREMENTS
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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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of handling laboratory animals is required as this will be optional. Good IT skills with Word, PowerPoint and Excel are essential and some knowledge of statistics is desirable. How to apply Interested
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interventions for people of African and Caribbean origin. Rebecca Hardy is Professor of Epidemiology and Medical Statistics, and she has been at the forefront of developments in life course epidemiology for over
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in a related discipline would be expected. Medical and veterinary graduates are encouraged to apply. A Master’s degree in related subject is desirable and previous experience in statistical
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to the role (such as BASES accreditation) Industry experience within the sport and exercise sciences working in an applied manner A proficiency in using statistical and/or analytical software packages such as
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to the role (such as BASES accreditation) Industry experience within the sport and exercise sciences working in an applied manner A proficiency in using statistical and/or analytical software packages such as
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discipline Other accreditations commensurate to the role (BASES accreditation) Industry experience within the sport and exercise sciences working in an applied manner Proficiency in using statistical and/or
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inference (e.g. state space modelling), advanced statistics • Experience in conducting high quality academic research • Demonstrable ability to present research papers at national/international