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                quantum field theory, condensed matter physics and/or quantum information theory. Applicants will be expected to have, or be close to completing, a PhD in theoretical or mathematical physics or a closely 
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                , or be close to completing, a PhD in mathematics or a related discipline, and possess sufficient specialist knowledge in either random matrix theory, analytic number theory or probability to work within 
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                We are currently inviting applications for a Postdoctoral Research Associate to work with Professor Lida Kanari at the Mathematical Institute, University of Oxford. This is a 1-year, fixed-term 
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                Research Assistant on Session Types: Theory and Programming Semantics Fixed-term until 30 September 2026 to start from 1 October 2025 Grade 06: £34,982-£40,855 per annum inclusive of Oxford 
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                We invite applications for a Postdoctoral Research Associate in Operator Algebras to work with Professor Stuart White at the Mathematical Institute, University of Oxford. The position is full time 
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                period of 12 months in the first instance, with potential to extend. The project involves advanced theory for new ultrafast imaging experiments and is funded by Engineering and Physical Sciences Research 
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                , 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 sources, reviewing 
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                ovarian cancer prognosis, COVID-19 prediction, and childhood mental health. You will have (or be close to completing) a PhD in a quantitative discipline such as computer science, mathematics, statistics 
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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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                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