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  • College of Life Sciences Imaging Steering group

    The University of Leicester Imaging Steering group oversees the use and maintenance of current imaging equipment within the College of Life Sciences as well as investigating the potential to acquire new equipment that will enhance world-leading research.

  • Are we entering a new age

    Professor Jan Zalasiewicz (pictured) from the Department of Geology has been interviewed by Academic Minute discussing the Anthropocene and whether mankind has entered a new age.

  • Discovering Peterloo in Special Collections

    Posted by Sarah Wood in Library Special Collections on November 23, 2018   Guest post from Dr William Farrell, Research Services Consultant.

  • Environmental Science BSc

    From climatic changes and natural hazards to shifting tectonic plates, our planet is constantly reshaping itself. By studying the science behind physical geography, you can better tackle the challenges that lie ahead.

  • Matter detected falling into a black hole at 30 percent of the speed of light

    A team of astronomers led by our Department of Physics and Astronomy report the first detection of matter falling into a black hole at 30% of the speed of light, located in the a distant galaxy.

  • Waugh and Words: Academic and staff blogs from the University of Leicester: Page 7

    Academic and staff blogs from the University of Leicester

  • University launches new centre for cardiovascular research

    A new multi-million pound centre to turbocharge cardiovascular research has opened at the University of Leicester.

  • Kinchega Archaeological Research Project

    Project page for the University of Leicester's Kinchega Archaeological Research Project

  • National Conference Celebrates Record Attendance in Leicester

    A remarkable 552 delegates gathered in Leicester for the 19th Annual UK Clinical Research Facility (UKCRF) Network Conference, setting a new attendance record for the national event.

  • Artificial Intelligence tool successfully predicts fatal heart rhythm

    In a Leicester study that looked at whether artificial intelligence (AI) can be used to predict whether a person was at risk of a lethal heart rhythm, an AI tool correctly identified the condition 80 per cent of the time.

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