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of Control Engineering, mathematical modelling and Engineering Biology are being sought. The successful candidate will work in collaboration with our interdisciplinary team that includes experts in synthetic
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linkage purposes to better characterise health outcomes and their sub-types. To be considered, you must hold (or close to completion of) a PhD in computer science, mathematics, software engineering or
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remotely). You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience
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of Statistics and the OMI. At the OMI, the postholder will collaborate with faculty members from various departments of the University (e.g., Mathematics, Engineering, and Saïd Business School). We proudly hold a
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fundraising goals An ability to provide specialist expertise in the area of major gift giving, and to develop a long-term strategy for the solicitation of principal gifts A passion for science and technology
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, engineering, mathematics or computational, have experience in the use of biomedical/clinical imaging data, have proven experience in programming (Python preferably) for medical imaging processing and machine
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expertise in economics, engineering, governance and applied mathematics. The team will work interactively and dynamically, in order to quickly develop important new insights, drawing upon extensive research
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About the role We have an exciting opportunity for a highly motivated Research Assistant to join the Ineos Oxford Institute for Antimicrobial Research (IOI) within the Mathematical, Engineering and