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Field
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people-centric predictive digital technologies to improve disaster and climate resilience) project aims to develop and implement an end-to-end people-centred computational framework (and accompanying
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PhD or equivalent professional qualifications and experience will be in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working
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applications would be particularly beneficial, although not essential. In addition, experience in artificial intelligence, cloud computing, sensor networks and/or data visualisation would also be highly
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will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the
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produce preliminary experimental data in the field ofrheumatology and musculoskeletal (MSK) medicine which in turn may allow the fellow to develop a competitive PhD fellowship application. Although research
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with a wider interdisciplinary research team Participate in wider networks, including the Adult Social Care Cluster and DEMCOMM programme events Main Duties The responsibilities may include some but not
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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available immediately for three years. This post will be part of the Net Positive Centre and will be based in the Computer Science department on Streatham campus at the University of Exeter. They will work in
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Applications are invited for the prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. This 1-year appointment at Imperial College
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the British Geological Survey and a variety of external project partners. There will be travel opportunities to work in-person with this network of collaborators, as well as for presenting the research