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9796 results for: ‘global learning outcomes’

  • Researchers identify simple methods to prevent heart attacks and stroke

    Simple pharmacological solutions to prevent heart attacks and stroke worldwide have been proven effective by an international team involving Leicester researchers.

  • British Sign Language (BSL)

    Browse the range of BSL courses at the University of Leicester

  • Computational Fluid Dynamics

    Module code: EG7125 This module will provide a comprehensive overview of Computational Fluid Dynamics, and its application to flows of both academic and industrial interest.

  • Study

    Find out about studying Psychology at the University of Leicester. We offer BPS-accredited undergraduate and postgraduate courses, and a wide range (MPhil, PhD, PsyD and DClinPSy) of postgraduate research degrees.

  • Study

    By choosing to study Archaeology or Ancient History, you will join a lively academic community committed to understanding the past.

  • Computational Fluid Dynamics

    Module code: EG7125 This module will provide a comprehensive overview of Computational Fluid Dynamics, and its application to flows of both academic and industrial interest.

  • Computational Fluid Dynamics

    Module code: EG7125 This module will provide a comprehensive overview of Computational Fluid Dynamics, and its application to flows of both academic and industrial interest.

  • Study

    Degrees in Media and Communication at the University of Leicester offer you the chance to explore a wide range of specialist subjects within the wider field of media and communication. Find out more about our undergraduate and postgraduate courses and research opportunities.

  • Study

    Museum Studies at Leicester offers a wide range of postgraduate study opportunities as well as research degrees to meet your requirements.

  • 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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