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station and Hawkshead Campus Pre-application enquires can be directed to either Prof Dirk Werling (dwerling@rvc.ac.uk ) or Dr Thomas Gobbetti (t.gobbetti@forcefieldtx.com ).
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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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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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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demonstrable experience in analysing datasets such as infectious disease surveillance, applying statistical methods, and interpreting output. Further particulars are included in the job description. The post is
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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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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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), and apply these and other related methods in a study comparing the clinical and cost-effectiveness of local versus general anaesthetic for people with a ruptured abdominal aortic aneurysm undergoing
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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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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