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the department’s undergraduate and postgraduate taught programmes. Teaching duties will primarily involve working within a small team to deliver our Research Methods and Statistics courses under the direction of our
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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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About the Role The purpose of this role is to provide mixed methods and evidence synthesis research support for a Gates funded project examining the utility of iron preparations for maternal anaemia
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software packages. They also must have demonstrated knowledge of longitudinal data analysis methods, and an understanding of sample size calculations. Further particulars are included in the job description
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to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures of health, well-being, and human
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works in partnership with subject matter experts across the institution, both in areas of management information and EDI, to create high quality reporting methods and outputs. The role holder will have
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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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programme. Around one third of young people experience elevated suspicious thoughts and paranoid ideation. “Treating Unhelpful Suspicious Thoughts in teenagers (TRUST): A schools-based feasibility randomised
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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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for the RVC. The successful post holder will have the ability to communicate confidently with a wide range of stakeholders and have a high level of customer focus. You will be able to work methodically, follow