Search
-
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.
-
COP29: What it’s like behind the scenes at the world’s largest climate conference
https://le.ac.uk/news/2024/november/tim-neff
An interview with Lecturer in Journalism Dr Tim Neff as he attends COP29.
-
Certificate in English Language Teaching to Adults
https://le.ac.uk/cite/eltu/courses-for-teachers/celta
CELTA courses at the University of Leicester. Learn to teach English as your ticket around the world.
-
Computational Fluid Dynamics
https://le.ac.uk/modules/2024/eg7125
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
https://le.ac.uk/archaeology/study
By choosing to study Archaeology or Ancient History, you will join a lively academic community committed to understanding the past.
-
Study
https://le.ac.uk/psychology-vision-sciences/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
https://le.ac.uk/museum-studies/study
Museum Studies at Leicester offers a wide range of postgraduate study opportunities as well as research degrees to meet your requirements.
-
Study
https://le.ac.uk/media/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.
-
Computational Fluid Dynamics
https://le.ac.uk/modules/2025/eg7125
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
https://le.ac.uk/modules/2026/eg7125
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.