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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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to important public health topics. Studies will include descriptive epidemiology and use emulated target trial approaches for robust causal inference within large national health datasets. The post offers
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, exchange of data and resources. Iskratsch et al., Nat Rev Cell Mol Biol (2013) (2018) Hawkes, Phil Trans R Soc B (2022) Marhuenda et al, BioRxiv (2023) Swiatlowska et al, Sci Adv (2022) Swiatlowska et al
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epidemiology team of the Veterinary Epidemiology, Economics and Public Health group for an enthusiastic and motivated self-starter to work on a large-scale Horserace Betting Levy Board-funded project
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environmental epidemiology research team at LSHTM to work on a new UKRI-funded study in the field of climate change and health entitled THERM-UK. This is an exciting opportunity to be part of a large
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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science field. Experience in molecular epidemiological studies, including managing large datasets, is highly desirable. Relevant experience in host-pathogen interaction research, including in vitro tissue culture
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opportunity for a junior researcher to join the LSHTM team of the HIGH Horizons Consortium to work on a large multi-country collaborative project assessing the health effects of climate change on maternal and
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to completion*) in a relevant subject and a proven track record in computational biology and data science, coming from either a bioinformatic or computational background. With experience of working with large