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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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candidate is expected to have a solid background in applied mathematics/statistics/computer science or related discipline. Advanced coding skills are a big plus. This position is fully-funded and research
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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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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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OF THE PROJECT Essential Criteria: A first-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline such as mathematics, computer science, AI, data science or statistics. Experience in
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PhD studentship in the Groups “Numerical Analysis and Scientific Computing” and “Mathematics Applied to Biology” at the University of Sussex (UK). PhD project Statistical inference has proved to be
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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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All applicants should have, or expect to obtain, a bachelor’s degree in mathematics or statistics, or in a subject containing a substantial mathematical component. The minimum entry requirement is a 2:1
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The ProbAI Hub is a £8.5M research hub funded by EPSRC to develop better understanding of and new methods in AI. This will be achieved by research at the interface of AI and Mathematics