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  • Andrew Dunn: Page 163

    Academic Librarian.

  • University of Leicester performs strongly on Student Voice and Organisation and Management in the National Student Survey

    University of Leicester students are positive about the organisation of their course and their opportunities to feedback on it, results in the National Student Survey (NSS) have shown.

  • Holly Furlong: Gender rights and the Women's Museum of Ireland

    After graduating from Museum Studies at Leicester in 2014, Holly Furlong has gone onto a variety of roles within the museum sector.

  • Stonewall names University of Leicester one of Britain's top 100 LGBT-inclusive employers

    Stonewall logo. Acceptance without exception.|University of Leicester ranks 72nd on LGBT charity's annual list of inclusive employers.

  • Lord Sugar hails Leicester medic’s campaign to rename condition to avoid fatal mix-ups

    A Leicester medic has successfully campaigned to change the name of a rare but potentially fatal condition, with the backing of businessman and TV personality Lord Sugar.

  • Creative Industries

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on February 28, 2014 March of the modern makers: An industrial strategy for the creative industries An interesting report from the Institute for Public Policy Studies.

  • Case Study - A S Miles Consulting

    Introduction A S Miles Consulting Limited, based in Glenfield, Leicestershire, were established in 2015 and provide management consultancy services to the transport industry ensuring businesses and their transport operations are safe, compliant and profitable.

  • Arch-I-Scan blog 2021 retrospective University of Leicester

    Retrospective of the past year of Arch-I-Scan activities.

  • Hotspots and minisatellites

    Instrumental to Professor Sir Alec Jeffreys' refining of the genetic fingerprinting technique were hotspots of activity and minisatellites.

  • Epidemiology

    Module code: MD7452 Modelling in epidemiology project The project is designed to give you experience in analysing epidemiological data using logistic and Poisson models. The project uses real datasets, which inevitably comes with some real problems.

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