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  • Academic staff

    Browse Leicester Law School's academic staff, explore their staff profiles and see their contact details to get in touch via telephone or email.

  • Current Issues in Medical Genetics

    Module code: MB2051 Cloning, designer babies, gene editing and personal autonomy are examples of the contemporary issues surrounding the study of medical genetics.

  • Current Issues in Medical Genetics

    Module code: MB2051 Cloning, designer babies, gene editing and personal autonomy are examples of the contemporary issues surrounding the study of medical genetics.

  • Who are learning outcomes really for? – University of Leicester

    The 'Learning Outcomes Project' at the University of Leicester. Who are learning outcomes really for?

  • The Bulletin Leicester named top 10 city to live and work

    In this episode of The Bulletin from the University of Leicester News Centre: Leicester among best 10 cities in the UK, according to new survey New observations reveal Jupiter's Great Red Spot as mysterious energy source Research suggests ethnicity could impact health of...

  • Francois du Bois

    The academic profile of Professor Francois du Bois, Professor of Law at University of Leicester

  • His Honour David Brunning

    The University has learned, with sadness, of the death of David Brunning, a former member of Council and life member of the University Court. David Brunning was born on 10 April 1943. He was a pupil at Burton upon Trent Grammar School.

  • Research

    Browse our research projects associated with the bone laboratory within Archaeology and Ancient History at Leicester.

  • Awards

    Our hard work over the years has meant that ULAS has been the reciprocate of awards such as the Queen's Anniversary Prize and the Times Higher Education (THE) award.

  • Ecology, Climate and Land-use processes of the Amazon Tropical Forests

    Module code: GY3440 This module focusses on modern concepts in ecology and the connections between climate and land-use processes. The module aims to understand, quantify and predict the future of the Amazon forests in a changing world.

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