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Field
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Applications are invited for a Postdoctoral Research Associate in Contextual Safeguarding with a particular emphasis on researching the implications of Contextual Safeguarding to education. This is part of the the Divide research project, led by Jenny Lloyd. Crossing the Divide will explore how...
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commercial risks to unlock these resources for broader markets. It will combine empirical field studies, numerical and analogue modelling and computational approaches to drive a step change in our ability
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innumerable landscapes and seascapes—on land inhabiting a shared biome defined by fire and resistance to it, and encompassing a sea of enormous biodiversity, in a complex and dynamic ecosystem. ECOMEDS examines
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Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics (viral vector and/or extracellular vesicle-based) for myocardial regeneration. Key
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, to identify promising research directions, to develop new research methods, to implement those methods in computer code, and to evaluate their performance on various data sets and applications. To take part in
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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to the regulation of complex behaviours. This will involve a range of techniques including high resolution confocal microscopy to determine receptor localisation, behavioural analysis of C. elegans and computational
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Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics (viral vector and/or extracellular vesicle-based) for myocardial regeneration. Key
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largest protein/peptide mimotope dataset foundational for advancing any peptide-based drug discovery programme. The ERC PoC PepVerse project focuses on increasing the technology readiness of this platform
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods