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research environment supported by a team with broad expertise in data science, infectious diseases, hepatology, and clinical informatics. You will take a leading role in analysing large-scale, longitudinal
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statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
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Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking
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Klebsiella spp. infections, including those associated with antimicrobial resistance (AMR). As part of this post there is an opportunity to analyse large longitudinally collected sequencing datasets (both
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that combine qualitative and statistical analysis, and help develop study protocols. You will handle data management, cleaning, and analysis using appropriate statistical techniques, and work with parent
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of patients in clinic settings or at home across a large local geographical area, meaning that there is likely to be extensive travel which would be facilitated by having a valid driving licence, and access
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Revenue and Customs. Innovation policy using large company-level patent portfolio information. The post will give the Research Assistant a unique opportunity to work with multiple teams and gain experience
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at command line and BASH scripting Experience working with large scale, complex datasets and data wrangling skills Strong publication record and familiarity with the existing literature and research in
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experience in data management, analysis, and visualisation. You will demonstrate experience working with large-scale biological datasets, preferably from biobank studies (e.g., UK Biobank, China Kadoorie
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to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs