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project management, to co-ordinate multiple aspects of work to meet deadlines. You will be responsible for preparing working theories and analysing qualitative and/or quantitative data from a variety of
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complete, and the research assistant would be involved in tasks such as updating literature reviews, contributing to writing up the discussion, and producing figures/graphs for statistical outputs
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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the STEM (Science, Technology, Engineering and Mathematics) academic domain, and comprises open access Weekly Classes and Short Online Courses, Day & Weekend events, lecture series and summer schools. It
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Biostatistics, Mathematics, Statistics, Computing, Mathematical Biology or a related subject. You will have expertise in making sense of microbial genetics. Proficiency in a high-level programming language is
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researchers will extend and apply the ideas of active matter physics in biological contexts, developing theories and cell-scale and continuum computational models. The work will focus on identifying physical
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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possibility of extension. Flexible and hybrid working patterns will be considered. The AI Hub: The EPSRC-funded Erlangen AI Hub brings together leading minds from across the UK’s mathematical, algorithmic and
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The Mathematical, Physical and Life Sciences (MPLS) Divisional Office is looking for a talented Communications and Engagement Coordinator to help deliver high-quality, creative communications
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on implementation studies of existing mathematical models. The post would be suitable for applicants with general interests in implementation of healthcare technologies, real-time processing in clinical