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College London. These two Wellcome Trust-funded roles will work on engineering S. cerevisiae yeast strains to tailor their cells for the capture, editing and transfer of large (250 kb+) sections
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to convey information in an engaging way. You will be experienced in the use of digital tools to support learning and assessment, especially using Blackboard Learn or other similar VLEs. The CLCC has a
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action plans and making recommendations as needed. You aill also produce management reports and information including performance against KPIs on health & safety related service delivery, compliance, and
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to enable discoveries that improve people’s lives. Its 20-year vision is for large-scale data and advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to
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healthcare. You should also have experience with large scale scientific computing, working with sensitive patient data, in development and management of research code, and with cardiac and cardiovascular
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techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both keyword-based search and SPARQL querying. EPRESSO will build on and
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February 2025) that has mapped emotional hotspots in cities using spatial analysis of social media data. Our next effort aims to incorporate explainable AI (XAI) to interpret and explain spatial patterns
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university like no other. Across the University we have a huge variety of roles and career opportunities, which together make us a large and successful community, which is a key hub of activity within our
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and archival data, as well as working towards future observing proposals and strategies. Within this framework, the successful candidate will have flexibility and freedom to tailor the project
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reporting of admissions performance of programmes through the use of University data sources and processing of UCAS applications. They will maintain a close eye on admissions processes, suggesting