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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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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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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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analysis (e.g. economics, statistics, mathematical modelling). They will also have completed an MSc in one of these areas. For the position of Research Assistant, applicants should have a Masters in Health
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, Fluid Mechanics, Mechanical Engineering, Applied Mathematics, Engineering Mathematics, Mathematical Modelling, Nuclear Physics
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and experience of RANS and LES Understanding and experience in using high performance computing and programming using Message-Passing Interface (MPI) Understanding and experience in mathematical
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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
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in a subject relevant to the proposed PhD project (i.e., computer science, cybersecurity, mathematics, or software engineering). A Masters qualification in a relevant subject area will be highly