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Programme. The NBRC is a partnership between Nottingham University Hospitals NHS Trust and the University of Nottingham funded by National Institute for Health and Care Research (NIHR). The mission
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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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manager and the manager of your substantive post, if you are already undertaking a secondment role. Generous funding is available for travel, computing equipment, and personal development. If successful
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programme. To acquire, analyse, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. To establish a national reputation and
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-based role focusses on electromagnetic design, computational modelling (e.g., COMSOL, CST, ANSYS), dielectric characterisation, and testing that help to bridge the gap between laboratory-scale research
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We are now recruiting 2 full time Research Fellows to work with Stephen Farrall and colleagues at Warwick (Emily Gray) and Queen Mary College, University of London (Maria Grasso) on their research into politics and crime. The research is funded by the Leverhulme Trust. The School and the...
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data acquisition and interpretation are highly desirable. This is a collaborative project between the School of Pharmacy, The School of Computer Science, Physics and Astronomy, the School of Life
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acceptable but will need to be demonstrated through certified evidence of substantial training and experience that has qualified candidates to plan, direct and perform an independent research programme with
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, direct and perform an independent research programme with substantial deliverables. Ideal candidates will also have expertise in sustainable cities and communities, human-environment interface and the
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entitled “White Matter Computation: Utilising axonal delays to sculpt network attractors”. The central aim of the project is to determine how dynamic patterns of neural activity evolve in a complex network