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The Law of International Protection: Asylum Seekers and Refugees
https://le.ac.uk/modules/2025/lw7265
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The Law of International Protection: Asylum Seekers and Refugees
https://le.ac.uk/modules/2026/lw7265
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Bioethics
https://le.ac.uk/modules/2027/lw3550
Module code: LW3550 In bioethics we tackle a whole range of knotty ethical dilemmas in healthcare head-on. By doing so we try and create a framework for making better moral decisions in society.
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Bioethics
https://le.ac.uk/modules/2025/lw3550
Module code: LW3550 In bioethics we tackle a whole range of knotty ethical dilemmas in healthcare head-on. By doing so we try and create a framework for making better moral decisions in society.
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Bioethics
https://le.ac.uk/modules/2026/lw3550
Module code: LW3550 In bioethics we tackle a whole range of knotty ethical dilemmas in healthcare head-on. By doing so we try and create a framework for making better moral decisions in society.
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New space missions to explore suns’ influence on habitable worlds
https://le.ac.uk/news/2024/august/sirius-elfen
Two proposals for missions led by the University of Leicester receive £500,000 funding from UK Space Agency
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Royal visits
https://le.ac.uk/about/history/royal/visits
The University of Leicester has been pleased to host visits by members of the Royal Family throughout its history, including HM The Queen and HRH The Duke of Edinburgh in 2008.
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Spotlight on SLAIDER -- Self-learning AI-based digital twins for accelerating clinical care in respiratory emergency admissions
https://le.ac.uk/computing-and-mathematical-sciences/research/life-health-sciences/slaider
SLAIDER is a £620k project running from 2023 to 2025 and funded by the EPSRC. To provide more context on the project, the team was asked several questions about SLAIDER and how it could impact real-life clinical care.
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Publications
https://le.ac.uk/urban-history/research/publications
This list provides information about some of our publications. Further details of these and other publications produced by staff in the Centre for Urban History can be found within individual staff pages.
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Publications
https://le.ac.uk/nurc/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.