27 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" research jobs at University of London
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researcher to work in collaboration with and under the supervision of Professor Michelle West to realise the objectives of a research programme into Epstein-Barr virus (EBV) mechanisms of transformation and
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contact Dr Gemma Northam Gemma.Northam@rhul.ac.uk . Information about our Department can be found at: https://www.royalholloway.ac.uk/research-and-teaching/departments-and-schools/psychology/ . Please quote
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About the Role The Research Assistant will work across the new GRACE Programme funded by the Alzheimer’s Society and the NIHR Dementia and Neurodegeneration Policy Research Unit at Queen Mary
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common complex human genetic diseases using genomics and other omics data within large-scale health datasets. The postholder will contribute to objectives and development of a research programme funded by
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common complex human genetic diseases using genomics and other omics data within large-scale health datasets. The postholder will contribute to the objectives and development of a research programme funded
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31 December 2026. The post is funded by the NIHR Policy Research Programme and is available from 01 January 2026. The salary will be on the LSHTM salary scale, Grade 6 in the range £45,728 - £51,872
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, to deliver the aims of the programme. The PDRA will join a team working on extracellular vesicles as well as other aspects of inflammation resolution, with close attention to the exploit this science for
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in developing countries through excellence in research, healthcare, and training. Our research programme includes basic scientific investigations, clinical trials, epidemiological studies, intervention
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About the Role This 3 year full-time PDRA position, using advanced transmission electron microscopy (TEM), is part of an exciting major EPSRC-funded Programme Grant, "Enabling Net Zero and the AI
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. About You The ideal candidate will have a PhD in a numerate field, be familiar with medical image analysis using deep learning methods, have experience with GitHub and relevant programming languages