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from patients and healthcare professionals. This is a unique opportunity to play a central role in digital health innovation, working at the intersection of research, technology, and real-world
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institutions, delivering world class education and knowledge transfer across a wide range of subjects in the Humanities and Social Sciences, Medicine & Dentistry and Science & Engineering. About Queen Mary
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, technology, public expectations, income growth, socioeconomic and environmental factors. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the
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and across performers, venues and audiences relating to live performance. Highly desirable skills include knowledge of and experience with emerging trends related to AI & Blockchain technology, business
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detection of disease using light (referred to as a non-ionising radiation technology) in association with fast computational methods and artificial intelligence (AI) to reconstruct images. This will be
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funding is through a 3 year BBSRC grant, with the potential for extension subject to additional grant approval. The ideal candidate will have: A PhD or close-complete PhD in Neuroscience, Engineering
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Engineering, which comprises five schools and two institutes. The School has large and popular undergraduate and graduate programmes, and aims to continue to expand its research profile as well as its study
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liquids, with a strong emphasis on superfluid helium. RHUL also has extensive experience in cross-disciplinary research, successfully leading the QUEST-DMC project at the interface of quantum technology and