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  • Leicester’s cutting-edge research and innovation delights Minister

    Minister Chris Skidmore MP was in Leicester today (Friday 8 March) at the start of British Science Week, visiting the University of Leicester to see first-hand how the University and the region is at the cutting-edge of life sciences and space research and innovation.

  • Trading places: University of Leicester scientist swaps roles with parliamentarian for Royal Society Pairing Scheme 2025

    University of Leicester environmental health expert to spend next week working in Parliament

  • Resources

    Resources to use during LGBT+ History Month.

  • Events

    Find out about the upcoming events in the School of History.

  • Online programmes and activities

    Bookings To book a live KS1/KS2 online session or an in-school workshop with the Botanic Garden Education Officer please email the Botanic Garden. Botanic Garden board game A fun, printable board game based on the University of Leicester Botanic Garden for ages 6-9.

  • The house (‘pansi ghor’): a classic object of human resilience to environmental disasters?

    Read the article "The house (‘pansi ghor’): a classic object of human resilience to environmental disasters?" This is part of the Social Worlds project at the University of Leicester.

  • Brian Windley

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  • Appeal decision

    Appeal review requests  Appeal Review Requests will only be considered if one, or both, of the following grounds are met: there is evidence of a procedural irregularity in the initial consideration of the appeal, and / or there is evidence of eligibility of the...

  • Leicester scientists shortlisted to showcase their research to the House of Commons

    Researchers from the College of Medicine, Biological Sciences and Psychology will have the opportunity to present their research to policy makers after being shortlisted for the STEM for Britain 2017 awards at the House of Commons.

  • Over £600,000 for University of Leicester to shrink AI algorithms for smarter spacecraft

    Multidisciplinary team from University of Leicester receives £690,000 funding from UK Space Agency and aims to develop and demonstrate streamlined machine learning algorithms suitable for limited spacecraft power and computing performance

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