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  • Research areas

    We are proud to be one of the world’s leading research-intensive universities. Our research changes the way we think about the past, present and future. Browse our research areas.

  • Industry engagement

    Together with the Research and Enterprise Team (RED), LD3 helps academics engage early with industry.

  • Gerry McCann

    Information and contact details for Professor Gerry McCann, Professor of Cardiac Imaging, Honorary Consultant Cardiologist.

  • Dissertation

    Module code: AR7029 This module is a longer dissertation project, comprising 90 credits and 20,000 words. It presents the opportunity to develop and carry out a detailed and sustained research project on a topic that interests you.

  • PhD student makes it to finals in ICT Young Pioneers competition

    A research postgraduate in the Department of Computer Science has made it through to the finals of the Engineering and Physical Sciences Research Council (EPSRC) ICT Young Pioneers competition after submitting a video about how to overcome software faults in computer...

  • About RCMG

    We understand museums, galleries and heritage as part of – and active in shaping - the contemporary world.

  • Conceptualising Islands in History: Considering Bermuda and Gibraltar’s Prison Hulks

    Posted by Clare Anderson in Carceral Archipelago on March 8, 2016 By Anna McKay, AHRC Collaborative Doctoral Partnership Student, National Maritime Museum & University of Leicester.

  • Resources

    Explore online resources on Evelyn Waugh. The University of Leicester has collated online collections, archived catalogues and the best Waugh websites around. Discover more about Waugh.

  • Genomics

    Current research Genetics of CAD Platelet Biology and Haemostatic Mechanisms Members Professor Matt Bown Professor Nick Brindle Professor Fadi Charchar (Hon) Dr Veryan Codd Professor Gianluigi Condorelli (Hon) Dr Giovanni Mariscalco Dr...

  • Leap in modelling human impact on climate may lead to early warning of climate disasters

    Mathematicians led by the University of Leicester have applied statistical mechanics to climate change detection and attribution for first time, showing how to separate the ‘signal’ of human-made climate change from the ‘noise’ of natural climate fluctuations

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