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  • Adele Parks: My time at Leicester

    Find out what bestselling author Adele Parks remembers about her time studying English at the University of Leicester.

  • Payment methods

    Before making payment  Students are often targeted by fraudsters. The University has a zero-tolerance policy to fraud. If any payment made for a student is found to be fraudulent the student will face disciplinary action, including expulsion.

  • Nagoya Protocol

    Every country has rights over the genetic resources that exist within its borders, including animals, plants and organisms.

  • Professor Yuri Dubrova

    It was with great sadness that we have learned of the death of our colleague and friend Professor Yuri Dubrova who passed away on 26 January 2023.

  • Ukrainian mum finds sanctuary and a career lifeline at the University of Leicester

    A Ukrainian mum-of-two has found sanctuary from war – and been able to resurrect her career – at the University of Leicester.

  • Application forms

    Learn how to fill in an effective application form.

  • Talking points a range of topics tackled by academics this week

    Despite promises of ‘ultrafast’ broadband services in the latest Budget announcement, Dr Bianca Reisdorf from the Department of Media and Communications and Anne-Marie Oostveen from the University of Oxford reflect on how we have yet to see the results of previous promises of...

  • Leicester praised in new book on science communications

    Award-winning work by the University of Leicester in improving science communications has been featured in a new book by Fiona Fox from the Science Media Centre.

  • 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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