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  • Working at home is ‘a double-edged sword’, new research reveals

    New research conducted by academics at the Universities of Leicester and Exeter has revealed how working at home can be ‘a double-edged sword’.

  • Citizen Science and Astronomical Observing – National Space Centre Q&A with Chris Lintott

    Posted by Physics & Astronomy in Physics and Astronomy Blog on 25 March 2021 Join the National Space Centre for a LIVE Space Q&A with the Sky at Night’s Chris Lintott, Friday 26 March 19:00-20:00.

  • Teacher mailing list privacy notice for teachers and advisers

    Learn more about how your data is handled for teachers and learners joining mailing lists from our Widening Participation and Student Recruitment teams.

  • e-Engagement Against Violence

    The e-EAV comparative project, funded by the EU’s Daphne initiative with the British case lead by Gabriella Lazaridis, examines the remaking of traditional forms of discrimination through the new means of digital/social media.

  • Leading Leicester cardiologists nominated for British Heart Foundation Heart Hero award

    Two leading Leicester doctors who have put their “heart and soul” into pioneering medical research have been nominated for a top regional award later this year.

  • Philip Larkins secret selfies

    For the first time, photographs taken by the poet Philip Larkin have been collected together from thousands held by the Larkin archive in Hull. Larkin had a long history with the University.

  • Events

    Find more information on the events hosted by the Centre for New Writing. Events are usually open to the public and free of charge.

  • Queens

    Find out more about the Queens food outlet in the Students' Union on Leicester central campus.

  • Leicester society wins international award for medical education through pandemic

    A team of Leicester medical students has been recognised for going above and beyond to educate healthcare professionals despite the challenges of COVID-19.

  • Breast cancer treatment could benefit from Artificial Intelligence

    Artificial Intelligence could identify patients at increased risk of side effects from radiation treatment for breast cancer

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