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14362 results for: ‘museum studies’

  • Our research in the fight against COVID-19

    Our COVID-19 research has cemented our status as world leaders in the fight against coronavirus.

  • Guidance for students

    We know that students at the University of Leicester are uncertain about how they will be affected by Brexit. We are committed to supporting all our students throughout this period of change.

  • Publications

    2024 – 2025  Jephcote C, Gulliver J, Development and evaluation of rapid, national-scale outdoor air pollution modelling and exposure assessment: Hybrid Air Dispersion Exposure System (HADES), Environment International, Volume 197,2025,109304,ISSN 0160-4120,...

  • Educational policy and practice: how ‘evidence-based’ can or should it be?

    Posted by Steve Rooney in Leicester Learning Institute: Enhancing learning and teaching on June 12, 2017 ‘On the research side, evidence-based education seems to favour a technocratic model in which it is assumed that the only relevant research questions are questions about...

  • Medical Statistics

    Module code: MD3002 In this digital age where the quantity and complexity of medical data is rapidly expanding, statistical analysis and data science are at the forefront of decision making.

  • Laura Gray

    The academic profile of Professor Laura Gray, Professor of Medical Statistics, Departmental Research Director, Co-Lead Biostatistics Research Group at University of Leicester

  • History of Sex and Crime in Wales

    History of sex and crime in eighteenth and early nineteenth-century Wales

  • First Cowrie Scholar excited to shine ‘positive light’

    The first recipient of a Cowrie Foundation Scholarship at the University of Leicester designed to provide opportunities for talented Black British students has described her excitement at becoming a role model to a new generation of students.

  • Waugh Geography quiz

    A geography quiz based on the novles of Evelyn Waugh, first published in 1986

  • Machine learning reveals clues to improved weather forecasting in our atmosphere

    Inspired by statistical mechanics, scientists co-led by University of Leicester applied algorithms designed to study molecules to atmospheric data and identified patterns in atmospheric fields that give clues to when weather variations will occur

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