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care and preventive medicine. The post-holder will work in the Centre for Evaluation and Methods (CEM), a thriving centre that incorporates collaborative units who work to deliver outstanding research
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CoSector CoSector – University of London is a digital services provider that operates as part of the University of London. It evolved from the University of London Computer Centre (ULCC), established in 1968
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points throughout the flexible programme. You will work within a team of Student Experience and Programme Delivery Managers and be supported by a team of Programme Administrators, in assisting
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
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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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, security, and data architect colleagues to analyse and deliver cost efficient but cohesive IT solutions. Connecting project and programme strategies to organisational goals for maximum impact including
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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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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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triggers, and applying cutting-edge AI methods, the tool will provide detailed insights into patient state and asthma management. Data will be collected and analysed within QMUL, Huma, and Bart’s NHS
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demonstratable knowledge in advanced statistical methods (e.g., time series regression, binomial regression, Poisson regression, Cox regressions) and scientific academic writing. Further particulars are included