22 algorithm-development-"University-of-Surrey" Fellowship research jobs at University of London
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including University of Surrey, Abertay University, the National Film & Television School, Pinewood Studios, BT and Disguise, the Lab brings together cutting-edge technologies — such as AI, virtual production
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is Prof Cally Tann. We are seeking a Research Fellow in Early Child Development & Disability to coordinate the development, implementation and evaluation of the programme, including: mixed methods
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for Psychiatry & Mental Health, Universities of Edinburgh, Cambridge, Nottingham, Surrey and City University of London. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas
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cancer patient care. BCI is committed in supporting and developing future cancer researchers through its extensive postgraduate training. It is one of six institutes within the Faculty of Medicine and
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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applicant will work in Professor Rastle’s lab. The post is based in Egham, Surrey where the University is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from
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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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analysis to join a dynamic team that has, for the past 8 years, developed an extensive body of research on corruption, governance and anti-corruption strategies. In the Accountability in Action project
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models