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are looking for an ambitious candidate with a strong background in mathematical and statistical methods for both physics-based modelling and machine learning, and their application to engineering problems in
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and diverse portfolio of taught courses and research programmes spanning from Architecture, the Built Environment, Health and Life Sciences to Engineering, Computing and Mathematics. The School
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About us Faculty of Mathematical & Physical Sciences: Consisting of eight departments and several specialized centres, the UCL Faculty of Mathematical & Physical Sciences (MAPS) encompasses
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The role We seek to recruit a Pathway 3 member of staff who can lead on activities crossing over between secondary school and university mathematics education. In particular, they will act as Unit
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of Manchester and the University of Birmingham. The project belongs to the Mathematics for Safe AI funding stream, which aims at assessing how we can leverage mathematics – from scientific world-models
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since its foundation in 1911. It is one of eight departments in the UCL Faculty of Mathematical and Physical Sciences and has close links with many other departments, both within the Faculty and outside
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centres as required. You will hold a relevant post-graduate degree in Mathematics, Engineering, Health Data Sciences or Biostatistics, have experience in statistics and/or health data sciences and have
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doctoral degree in Computer Science or related mathematical discipline together with a strong publication record and familiarity with the existing literature in the area of algorithms, or complexity
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successful applicant will also be part of the MathRad research network on mathematics of radiation transport, which has groups at the Universities of Warwick, Bath, and Cambridge. Number of awards: 1 Start
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or Planetary Science, Applied Mathematics, Physics, or a closely related field, completed by the start of the appointment. You should have strong scientific programming skills (Julia, Python, Fortran or C++) and