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  • Andrew Dunn: Page 171

    Academic Librarian.

  • Social Sciences and Humanities Librarians’ Blog: Academic and staff blogs from the University of Lei

    Academic and staff blogs from the University of Leicester

  • Experiential learning: what does sleeping on cardboard tell me about homelessness?

    Posted by apatel in Leicester Learning Institute: Enhancing learning and teaching on March 21, 2019 Trigger warning: this blog may be TMI for some people, so don’t read on if you are easily offended.

  • The library in the penal colony: Chekhov’s unsung gift to Sakhalin

    Posted by Carrie Crockett in Carceral Archipelago on June 7, 2017   Chekhov’s contribution to the cultural landscape of the Sakhalin penal colony (1868-1905), the establishment of several school libraries containing more than 2,200 volumes for the island’s...

  • “Of Ainu Women and Russian Prisoners: Listening for the Voice of the Other” University of Leicester

    Sakhalin, Bronislaw Pilsudski, political exile, Chufsamma, Ainu, indigenous tribes, prisoners, Ket, Fridtjof Nansen, Russian colonization, University of Leicester

  • Further Topics in Health Data Science

    Module code: MD7476 This module will extend your knowledge to more advanced data science topics as well as exposing you to a wider variety of topics.  You will take one mandatory teaching week (Advanced Data Science).

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    Upcoming events.

  • About the School of Arts, Media, and Communication

    Find out more about the School of Arts, Media, and Communication at the University of Leicester. Formed in 2024, we are home to a range of research centres, as well as Languages at Leicester.

  • Case Study - Axies Digital

    Introduction Axies Digital, based in Leicester, are a digital marketing agency supporting SMEs to get the best results from their marketing through a precise, data-led approach with a particular focus on pay-per-click (PPC), search engine pptimisation (SEO) and social media.

  • Further Topics in Health Data Science

    Module code: MD7476 This module will extend your knowledge to more advanced data science topics as well as exposing you to a wider variety of topics.  You will take one mandatory teaching week (Advanced Data Science).

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