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  • Resources

    Take a look at the resources available for students in higher education on mircobial genomes, all with descriptions and links.

  • Make yourself at gnome the fashionable hermit in the garden

    The curious story of garden hermits - from their distant ancestors in imperial Rome to their humble modern counterpart, the dapper garden gnome - will be told at a free public lecture on Thursday 14 May.

  • About

    Young people reflect on the Covid-19 pandemic through political cartoons Young people are given a voice through political cartooning as the University of Leicester, Shout Out UK, and Cartooning for Peace collaborate on a successfully awarded UKRI COVID-19 rapid response...

  • John Goodwin

    The academic profile of Professor John Goodwin, Professor of Sociology and Social Psychology at University of Leicester

  • Malaysia Airlines MH17 disaster A systems accident

    On 13 October 2015 the Dutch Safety Board published its Final Report into the Malaysia Airlines MH17 disaster, where a Boeing 777, carrying 298 passengers and crew, was downed by a missile over eastern Ukraine.

  • Evelyn Arthur St John Waugh (1903-1966)

    Read the biography of Evelyn Waugh, one of the twentieth century's most diverse and prolific writers. Find out more about the life of Evelyn Waugh and the complete works project at the University of Leicester.

  • Akoya PhenoImager slide scanner

    The PerkinElmer Vectra Polaris slide scanner can be found in the Advanced Imaging Facility. Learn more about it.

  • Geography, Geology and the Environment student complaints procedure

    The School of Geography, Geology and the Environment at Leicester aims to ensure that all our students have the opportunity to benefit from their studies and other opportunities offered by the University. View our student complaints procedure.

  • In the Footsteps of Caesar: the archaeology of the first Roman invasions of Britain

    The University of Leicester School of Archaeology and Ancient History In the Footsteps of Caesar project

  • Machine Learning for Engineers

    Module code: EG3213 Modern engineering products increasingly rely on data, and an increase in volume of data brings a need for faster and more efficient processing.

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