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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
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motivated computational Postdoctoral Research Assistant to lead on an established and successful research line aimed at understanding the genetic events that drive cancer evolution. We have a long-lasting
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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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completion) or possess experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and have relevant research skills in order to work within the research programme
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novel therapeutic strategies, and for anticipating the evolutionary trajectories of other viruses with pandemic potential. Our current research programme is structured around three central themes
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audiences and an ability to work well independently using own initiative, as well as part of a team. Experience in a variety of advanced microscopy techniques and computational biology expertise are desired
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team and is interested in joining a programme of discovery research which aims to better our understanding of the underlying mechanisms that drive late-stage kidney damage in people with and without
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
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to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and correlating findings with analysis of patient material. You will
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of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work