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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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economic burden of community acquired pneumonia within the UK. The student will analyse large datasets such as the Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics to identify
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Applications are invited for one PhD position in “Modelling and Inference for Mosquito-Borne Disease Elimination” at the Department of Statistics, University of Warwick. The successful applicant
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PhD Studentship: Centre for Doctoral Training in Composite Materials, Sustainability and Manufacture
. The occurrence of defects is a complex problem involving many factors. A combination of statistical tools and advanced machine learning techniques will be used to help develop mitigation strategies to avoid over
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(CPRD) and Hospital Episode Statistics to identify activity related to the treatment of community acquired pneumonia. This will require identifying relevant treatments and their associated Health Resource
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are maturing, one critical factor remains: human behaviour. From Edward Snowden’s historic NSA leak to the shocking statistic that 95% of cyber attacks succeed due to human error, it’s clear that human behaviour
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organisational skills. Desirable Criteria: M.Sc. or Research Masters in a relevant discipline such as mathematics, computer science, data science or statistics. Experience with handling EEG and/or EMG data. How
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background (e.g., mathematics, computer science, electronical engineering, physics, statistics, economics). Closing date : 31st July 2024. Funding: Full-time studentships will cover UK course fees and an