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9732 results for: ‘global learning outcomes’

  • Power, Privilege and Diversity

    Module code: SY1021 Engagement with sociology is often rooted in concern about inequality and the deprived circumstances in which many people live.  But inequality extends well beyond people’s economic situations.

  • The Bulletin - Leicester receives funding for ground-breaking research

    In this episode of The Bulletin from the University of Leicester News Centre: Hear why the university is receiving funding for groundbreaking research in global health and development. Find out why students must register to vote by 7 June to make their voice heard.

  • Tracking alien invaders

    Professor Mark Williams and PhD Students Stephen Himson and Rachael Holmes explain the influence of non-native plants and animals on the biosphere, and how humans can make a positive difference on the world.

  • Hours of driving and watching TV lower IQ scores research suggests

    A doctoral student from our University has commanded global media coverage for a study that found that driving for more than two hours a day appears to steadily reduce intelligence.

  • Resources

    All the infection resources available to students with descriptions and links.

  • Latin America and the Caribbean

    If you are from Latin America or the Caribbean, use this page to navigate to your country to find out about entry requirements, national student societies and other country-specific information.

  • Information for students

    Learn more about the RefugEAP course aims, features, frequently asked questions and how to apply.

  • Karin Li

    Hello my name is Karin. My background is in Art Museum and Gallery Studies. I am interested in art and history. I started volunteering for the Sounds for the Future project in October 2022 and now work as a library adviser for Archives and Special Collections.

  • William Farrell: Page 3

    I work in the Library's Research Services Team. I provide open publishing services, including Leicester Open Journals, as well as supporting literature searching and reference management.

  • Publications

    Wang, P., Tao, Q., Dong, H., & El-Fallah, G. M. A. M. (2025). Advanced machine learning analysis of radiation hardening in reduced-activation ferritic/martensitic steels. Computational Materials Science. doi:10.1016/j.commatsci.2025.113773 Li, M., Fu, J.

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