125 parallel-computing-numerical-methods positions at University of London in United Kingdom
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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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About the Role The purpose of this role is to provide qualitative and quantitative research support for a research and impact programme on food reformulation. This role sits within the Research and
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guarantee of a permanent position upon completion of the apprenticeship. By the time you have completed the programme, you will have both the qualifications and experience to pursue a successful career in
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development of new partnerships, connecting into the CoSTAR Network and wider programme delivery. Lead and facilitate collaborative activities in support of enterprise and innovation goals, impact acceleration
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to improve people's health in developing countries by striving for excellence in research, healthcare, and training. Our research program spans basic scientific research, clinical studies, epidemiological
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About the Role To provide professional support for all UG students in the School of Economics and Finance, and to provide programme management support for the portfolio of UG programmes. The post
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the education and research strategy of the Institute. The successful candidates will support the delivery of the existing Critical Care Medicine PGT programme offered through WHRI, as well as developing and
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in bioinformatics, statistics, epidemiology, or a relevant field such as computer science, operational research or a related quantitative field. You will have excellent data management skills as
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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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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal