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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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on site. The successful applicant will be educated to minimum 'A' level standard, to include English Language and Mathematics or an equivalent level of practical experience. He/she will be proficient in
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, Fluid Mechanics, Mechanical Engineering, Applied Mathematics, Engineering Mathematics, Mathematical Modelling, Nuclear Physics
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, chemical and biotech industries. If you have a strong background in computational chemistry, physics, mathematics or a related area, then this is the project for you! With access to large collections
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from common activities and allocated travel/conference funding. We are looking for highly motivated students with an interest in the following experimental and theoretical/mathematical topics (examples
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needs and individual circumstances. Entry requirements: Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Mathematics, Physics, Chemistry, Materials Science or
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Location: Mathematics, Streatham Campus, Exeter The University of Exeter’s Department of Mathematics is inviting applications for a PhD studentship fully-funded by the University of Exeter