63 statistics scholarships at PhD Programme "Gene Regulation in Evolution" in United Kingdom
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education? We are looking for a highly motivated individual who has an interest in Statistics and Data Science, to join the Department of Statistics within the School of Mathematics and/or the Leeds Institute
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education? We are looking for a highly motivated individual who has an interest in Statistics and Data Science, to join the Department of Statistics within the School of Mathematics and/or the Leeds Institute
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the discipline, demonstrated by a PhD (or nearing completion) or equivalent in Mathematics and Statistics, to develop teaching programmes, and teach and support learning; Please ensure you read the Job Description
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the data to statistically predict match outcome and league position. Initially, these models will be based on legacy data from our project partner, Scarlets Rugby. This dataset comprises individual athlete
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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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terrestrial environments; statistical analysis and data visualisation; as well as developing student study skills, participation in residential overseas field trips, student research project supervision and
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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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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
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generic career-development opportunities (e.g., patient and public involvement and engagement (PPI-E), dissemination, statistics). Further information: Applicants should have either: a minimum of a 2.1 in a
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analysis in biomedical data, in affiliation to the Artificial Intelligence Research Centre . The successful candidate will develop statistical and machine learning techniques to analyse biomedical data. High