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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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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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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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epidemiological or econometric methods, using R software package, and an understanding of techniques used in agent-based modelling. The post is full-time 35 hours per week, 1.0 FTE and fixed term until 31 December
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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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process for this role, candidates will be invited to attend a panel interview. In addition, there will be a scenario-based written assessment and a numerical assessment, lasting a total of 45 minutes
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.) including experience of industry-led R&D Are comfortable with cutting-edge user experience research methods Are happy discussing and co-creating research with a range of different stakeholders from across
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language processing (NLP) methods to work on a research project exploring the use of NLP in causal studies using primary care electronic health record data. Typically, entries in structured electronic health record
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strategic plan, also have Centre-specific objectives and requirements. The postholder will be based in the Centre for Evaluation and Methods (CEM). CEM is a thriving research centre that incorporates a number
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for this role, candidates will be invited to attend a panel interview. In addition, there will be a scenario-based written assessment and a numerical assessment, lasting a total of 45 minutes