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About the role This role offers an opportunity to contribute to the School’s established strengths in applied statistics, artificial intelligence, machine learning and data science. You will drive
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this network to deliver a comprehensive characterisation of paediatric MASLD liver transcriptome. To assist in research (by carrying out data collection or analyses) to create knowledge through providing
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be able to demonstrate their right to work in the UK prior to commencing employment and obtain the right to work in the UK. Information on other visa options is available at www.gov.uk/check-uk-visa
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measurement requirements, and with the modelling PDRA to support model parameterisation and interpretation of simulation results. Maintain accurate experimental records, contribute to data curation and support
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research delivery, stakeholder engagement, data collection and analysis, and project coordination. The postholder will work closely with academic colleagues, community partners and national stakeholders
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encourage applications from members of groups who are under-represented in our work force including people with disabilities, women and black, Asian and minority ethnic communities. For more information on
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project is supported by a British Academy Global Professorship awarded to Sian Halcrow. The aims of the project are Assay a wide range of collections, establishing information on acquisition and origin
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, navigating complex environments and representing the University externally. You will be highly organised, values-led, and adept at using data, insight and sound judgement to drive meaningful results. Knowledge
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the IT Service Desk, Incident and Problem Management, Change, Configuration and Release Management, Service Delivery and Data Centre Operations. As part of a service delivery team, you will provide a
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environment and knowledge of GCLP standards would be advantageous, but training will be provided where necessary. Additional information Informal enquiries are welcome and should be made to Susan Lehmann