322 computer-science-programming-languages-"St"-"ST"-"University-of-St" positions at University of London
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the statistical analysis of data. They will be supported by a multidisciplinary internationally renowned team with diverse expertise including in health data science, epidemiology, risk prediction, AI and clinical
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be responsible for the day-to day management of three research grants, including an NIHR funded multi-million-pound programme working in Nepal & Tanzania plus oversight of a large portfolio of
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statistical and machine learning to real life problems, using a popular computer language (e.g. Matlab, Python), and familiarity with topological and geometric data analyses. Candidates will have excellent
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research programme on infections and brain health funded by the Wellcome Trust. The successful candidate will conduct innovative research into relationships between infections and aspects of brain health
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representing the service at events to raise awareness and recruit new donors to the programme. Referral experience is not a requirement as specialist training and support will be provided. However, experience
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the College’s small animal referral hospital by further developing and delivering advanced cardiac surgical therapies through the open heart surgery programme, at the Royal Veterinary College. We are looking
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of program training opportunity About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we’ve fostered
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-on experience with programming, medical imaging, engineering designs, and system integration. Your track record will demonstrate proficiency in the design, fabrication, and pre-clinical testing of innovative
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the College’s small animal referral hospital by further developing and delivering advanced cardiac surgical therapies through the open heart surgery programme, at the Royal Veterinary College. We are looking
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Research Council (now UKRI Frontier) grant “Age-Enabled Exoplanet Science”. The successful candidate will work on determining the timescales and relative roles of key evolutionary processes in sculpting