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Queen Mary University of London

University

www.seresearch.qmul.ac.uk/cmai/London, United Kingdom

About

QMUL is a ‘Russell Group’ UK university conducting the very best research and outstanding teaching and learning. It is ranked joint 7th for research quality in the 2021 UK Research Excellence Framework (REF). 92% of research is world leading. In the Times Higher Education rankings 2025 QMUL sits within the top 10 per cent of global universities overall at 141, and in the top one per cent for research at 24th in the world for research. For international outlook, we are 11th in the world. We ranked #94 in the world and #9 in the UK in the 2025-26 US News and World Report Best Global Universities rankings. QMUL is among the top 20 UK universities targeted by leading employers (The Graduate Market 2024 report). And 110h in the world by The QS 2026) League table. QMUL has 9 Nobel Prize winners. In 2023-24 its annual income was £712m, of which £145m was research income. QMUL is a very diverse university, with over 32,000 students from over 170 nationalities, of which 46% are from overseas, and it was recently recognised as the most inclusive Russell Group university. With campuses in London, Paris, Malta, Singapore and programmes in China QMUL has 166 H2020 awards (€69.29m). 62 staff have been elected as academy and society fellows (e.g. Royal Society, British Academy, Medical Science and Engineering). It has been successfully evaluated for over 70 Horizon Europe proposals of which 33 are MSCA postdoc fellowships, and QM partner in 5 MSCA doctoral networks and 3 MSCA Staff Exchanges. QM offers a supportive and inclusive research

and training environment for career development of early career researchers, including offering research PhD studentships of c. £12m pa, as well as funding opportunities for postdoc fellowships

Representatives

Assistant Professor in School of Electronic Engineering and Computer Science

Queen Mary University of London

Marketplace (1)

  • Project cooperation

    Multimodal Artificial Intelligence for Health Decision Support

    Interested in design and development of novel AI driven solutions for automated health trajectory analysis and decision support

    • Partner seeks Consortium/Coordinator
    • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
    • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions
    • DESTINATION 1: HORIZON-HLTH-2026-01-STAYHLTH-02: Behavioural interventions as primary prevention for Non-Communicable Diseases (NCDs) among young people
    Author

    Assistant Professor in School of Electronic Engineering and Computer Science at Queen Mary University of London

    London, United Kingdom