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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in
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world headquarters of AstraZeneca. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health. The Unit is
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. Ranked 7th in terms of grade point average intensity in the Research Excellence Framework 2014, it has an active programme of internationally recognized research in Pure Mathematics, Applied Mathematics
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programme as part of the collaborative NINEDTP. The Department’s research strategy is built around five themes: Communities and Social Justice; Health and Social Theory; Higher Education and Social
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Postdoctoral Research Associate in Machine Learning ( Job Number: 25000466) Department of Computer Science Grade 7: - £38,249 - £45,413 per annum Fixed Term - Full Time Contract Duration: 24 months
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rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led science
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Division at the University of Oxford. Each partner in the collaborative research partnership leads a programme of work as part of the PEC’s research agenda and with the support and guidance of the PEC’s
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Applications are invited for a Postdoctoral Research Assistant in Data processing for the MIGHTEE survey. This is a senior role funded through the UKRI Frontier Research Grant of Prof. Matthew Jarvis to lead the processing of the MIGHTEE continuum and HI survey data. The role requires a high...
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well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term for 3 years. The closing date for applications is noon
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development laboratories at Guy’s Campus, London Bridge. The group specialises in inventing custom fluorescence-lifetime and multiphoton technologies and coupling them with powerful computational pipelines