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Postdoctoral Researcher to join the Howard Group at the John Innes Centre, working on cutting-edge science in the field of Computational and Systems Biology. About the John Innes Centre: The John Innes Centre is
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role in the delivery of a high-profile and innovative research project funded by NHS England. The LeDeR programme aims to analyse mortality data collected nationally and conduct deep dives in specific
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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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The Role The Department of Theology and Religion at Durham University, in partnership with the Society of the Sacred Heart, invites applications for a 36-month Fellowship in Catholic Social Thought and Practice. The successful applicant will be expected to work on a research topic of their own...
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spectroscopy Experience Proven experience in algorithm development to do physiological signal processing Experience in advanced computational techniques to assess and enhance signal quality Experience in machine
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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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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Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work
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research areas relevant to the project: solar magnetic field modelling, computational fluid dynamics, or solar observational data analysis. Working knowledge of at least one scientific computing environment