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and engagement, thought leadership, and knowledge transfer, alongside several vibrant institutes and centres within which the role holder will be based. About the role: The Senior Centre Manager will
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on refining and evaluating advanced AI models using multi-hospital data to enhance emergency care outcomes for patients with respiratory conditions. The successful candidate will collaborate closely with
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mathematics. Our multi-disciplinary approach puts people at the heart of AI. Our research starts with the problems that impact individuals, communities and society, and identifies how AI can address these
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leadership experience within a complex organisation, managing large, multi-disciplinary teams. Demonstrable experience of leading digital and technological change within marketing and recruitment functions
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Institute, QMUL led by Professor Rupert Pearse. The post holder will lead the day-to-day management of the multi-centre trials led by the group ensuring safe and efficient management and adherence to study
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implants. Working within a multi-disciplinary team, you’ll provide specialist rehabilitation, guiding patients through their hearing journey. Your key responsibilities will include: Delivering tailored
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, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre for Translational Informatics (www.ctiuk.org) and actionable
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We are seeking a highly motivated and talented MR radiographer to take on a key role in the provision of our clinical and research magnetic resonance service in the Oxford Centre for Clinical
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Ae Village, Scotland | United Kingdom | about 1 month ago
strategies to individual genetic, molecular, and lifestyle profiles. Among its core focus areas are novel biomarker discovery, clinical translation of multi-omics data, advanced AI-driven therapeutic design
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contribute to cutting-edge AI research with real-world clinical applications. The project focuses on refining and evaluating advanced AI models using multi-hospital data to enhance emergency care outcomes