24 genetic-algorithm-computer-"Prof" Postdoctoral positions at University of London in United Kingdom
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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-Raman spectroscopy (AF-Raman) for intra-operative assessment of sentinel lymph node biopsies in breast cancer surgery' led by Prof. Ioan Notingher (Nottingham) and funded by the National Institute
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. The Astronomy Unit includes a lively exoplanet/planet formation community, including the groups of Dr. T. Haworth, Dr. E. Gillen and Prof. R. Nelson. About Queen Mary At Queen Mary University of London, we
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with Prof. Heath Murray at Newcastle University. The group has routine access to the Titan Krios microscopes at LonCEM and eBIC and an in-house computing infrastructure for data processing. About You We
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About the Role This role will involve undertaking the evaluation of a digital social intervention in primary care in England. A summary of the programme grant is found here. The individual will be
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. The project will be carried out in close collaboration with Prof Draper’s group at Oxford and with the support of Prof Wright’s group at the University of York. This research project focuses on the RIPR protein
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and Immigration website . Full-Time, Fixed-Term (36 months) We are looking for a highly motivated early career researcher with a PhD (or near completion) in psychology, life sciences, genetics
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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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-tumour heterogeneity, clonal evolution, biomarkers of response and resistance to therapies and developing methodologies to study lymphoma cell populations (Okosun et al, 2014; 2016, Nature Genetics; Araf
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are seeking to appoint a postdoctoral research associate as part of a UKRI Future Leader Fellowship funded research programme. The successful candidate will work as part of a team to develop and apply deep