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  • English Literature MA

    Pre-1800 classic English literature, or 21st century game changers? This MA allows you to focus on areas that pique your interest most, discover new ones, and sharpen your independent research skills to an advanced level.

  • Bonds, Molecules and Cells

    Module code: NT1002 In this module you will explore the structure of microscopic objects from cells to molecules to atoms and begin to appreciate the connection between the structure of matter on the microscale and related macroscopic properties.

  • Tim Pearce

    The academic profile of Dr Tim Pearce, Reader in Bioengineering at University of Leicester

  • Examples of Decolonising the Curriculum SSC Posters

    Part of Leicester Medical School's Racial Inclusion in the Curriculum Toolkit; example titles of student projects

  • Nikon AX multiphoton microscope

    Get more information about the Zeiss MP7 multiphoton microscope housed in the Advanced Imaging Facility.

  • CUH Alumni

    Some of our recent graduates of CUH.

  • corinnefowler

    I am a Senior Lecturer in Postcolonial Literature in the School of English and Director of the Centre for New Writing. I direct the Grassroutes: Contemporary Leicestershire Writing project and am Co-Investigator on an AHRC-funded project called Affective Digital Histories.

  • 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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