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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
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, requests and issues. Accuracy and integrity of data in business systems. Development of relationships within and outside the team, and positive feedback from colleagues. Compliance with processes, procedures
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-ranging role. The post leads on all aspects of data collection, technical management, reporting and modelling for LSHTM’s Research Excellence Framework (REF) submissions, particularly the outputs submission
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science projects aligned with the university’s strategic and operational goals Take ownership of data analysis workflows including data extraction, preparation, modelling, and reporting Promote data
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to classify unseen conditions without or with limited training samples, in order to tackle data sparsity issues. Applicants should have the equivalent of a PhD/MSc degree from Computer Science with research
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PhD degree and substantial post-doctoral experience in a relevant topic including human genetics, bioinformatics or statistical genetics. Strong knowledge and experience of a programming language (e.g
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evasion thus supporting bacterial pathogenesis. We will characterise the antibacterial and anti-host activities of the T6SS and selected effectors using in vitro and in vivo models, deletion mutants and
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response and infectious disease modelling. This role has an initial term of three years and 0.4 FTE time allocation. (2) Faculty coordinator for Health Data Science. This involves coordinating research and
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health researcher is sought with expertise in quantitative surveys, mathematical modeling in nutrition (especially in Sudan), and crisis clinical nutrition program management. The ideal candidate should
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as well as working with collaborators, and proven ability to work with community partners. It is anticipated they will complete a PhD as part of this post. The post is fixed term until 30 September