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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
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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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. This collaboration of European and American specialist trauma centres aims to advance research in the field of fundamental, translational and clinical research into the body’s acute and longer-term response to severe
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of the largest scientific research centres in sub-Saharan Africa, with an international reputation for ground-breaking research into some of the leading causes of morbidity and mortality in the tropics. We aim
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). This global project aims to assess the behavioural and social drivers of vaccine uptake and to identify both supply- and demand-side barriers to immunisation. The post-holder will contribute to modelling
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(Understanding and eliminating district-level corruption in the health sectors in Nigeria and Malawi), we have pioneered a novel approach seeking to identify the institutional and structural drivers of corruption
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to join the Environment & Health Modelling (EHM) Lab (https://www.lshtm.ac.uk/ehm-lab ) led by Prof Antonio Gasparrini. The successful candidate will work on the project CONNECT – Cohort and environmental
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regression models to complex forms of observational data, and of applying causal inference approaches to health data are essential. Experience of analysing time-to-event outcomes is desirable. This role offers
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of the largest scientific research centres in sub-Saharan Africa, with an international reputation for ground-breaking research into some of the leading causes of morbidity and mortality in the tropics. We aim
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the use of mathematical modelling of infectious diseases. The post-holder will work closely with partners within the Global Polio Eradication Initiative to ensure that research is focused towards supporting