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, as well as develop methodological research to further advance the sciences of improvement and implementation and thus achieve better patient experience and outcomes of care more rapidly within the NHS
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development and regeneration. Our research combines in vivo genetic models, in vitro organoid systems, advanced imaging, and high-dimensional sequencing approaches to uncover fundamental principles by which
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also developing and pursuing an independent research agenda aligned with the groups and departments strategic directions. Candidates with a strong theoretical background in non-Hermitian optics
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leading role in the management and development of the project and to work independently and in collaboration to bring the project to a successful completion including establishing and maintaining external
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-leading database of MRI images of childhood tumours and have developed AI approaches to diagnose different types of tumour. To be useful for patients, this needs to be delivered in hospitals in real time
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to policing data, with potential expansion to additional sectors such as health, education or justice in subsequent years. This will include contributing to the development of review and verification plans
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complex health and social care challenges, particularly in the management of long-term conditions. We combine AI and traditional epidemiology with qualitative methods to develop impactful, real-world
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on relevant issues, and developing tomorrow’s researchers. The overall purpose of this role is to support the NIHR funded research project that aims to generate a comprehensive understanding of career
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risk assessments, regulations, and Standard Operating Procedures. With the guidance of the Project Co-Investigator and in collaboration with technical team, prepare samples and conduct analysis of river
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Partnership project will focus on developing technically and commercially viable gas diffusion layers for high-volume applications using recycled carbon fibre, creating a circular UK supply chain for carbon