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Field
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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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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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with MEng / MSc degree in Engineering, Mathematics, Physics or Computer Science. The scholarship is primarily open to UK nationals; EU, Commonwealth or USA nationals may also be considered. Supervisor
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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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useful insights towards efficient numerical approximation of broader classes of differential equations. The successful candidate will be part of the Geometry and Mathematical Physics group at Loughborough
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addition to funding for tuition fees and research training. We are looking for applicants with a degree in Computer Science, Mathematics, Physics, or Electrical Engineering. Prior experience in tomographic imaging
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PhD Studentship: Data-driven Probabilistic Modelling of Clonal Dynamics in Human Tissues and Cancers
. Recently, scientists have employed mathematical modelling in combination with probabilistic inference to elucidate the dynamics of clonal evolution over the course of a human lifetime. Such work has revealed
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such probabilistic terms, quantum theory cannot. In this project we will be investigating concrete solutions of the TKMP when K is a finite lattice and immediately using the mathematical solution to address Bell-type
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, Physics, Mathematics, or a related subject. A relevant master’s degree and/or experience in one or more of the following will be an advantage: modelling of dynamic systems, programming (MATLAB, Python, C