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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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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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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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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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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 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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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
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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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in working with large-scale electronic health records (EHR) data, and ideally with strong analytical skills. The post-holder will be expected to apply various analytical methods using EHR data
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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