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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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Barts Charity, aimed at realising the full potential of Genes & Health and other large-scale health datasets to estimate rare disease prevalence and identify genetic associations in South Asians. About
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by Barts Charity , aimed at realising the full potential of Genes & Health and other large-scale health datasets to estimate rare disease prevalence and identify genetic associations in South Asians
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, the models will incorporate novel estimates of vaccine waning and account for variation vaccine effectiveness across different populations within the UK. The post will be part of a large research programme on
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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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biology, detailed knowledge and laboratory experience in molecular biology, in particular familiarity with DNA isolation, PCR genotyping, ONT-based NGS sequencing and analysis with relevant computer and
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a UK Valid driving licence, applicants should have a good command of the English language both written and verbal, candidates must be computer literate. You will be required to be able to carry out
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communication, work on own initiative and as part of a team and have a flexible and professional attitude. Good organisational, planning, numerical skills and computer literacy are essential. Desirable qualities
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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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