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Diabetes CPD by distance learning
https://le.ac.uk/courses/cpd-diabetes-dl/2025
This is for you if... you want the flexibility of studying by distance learning whilst expanding your knowledge, skills and confidence in diabetes care to improve outcomes in patient care and personal career progression.
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International students welcome at Leicester - response to Home Office announcement
https://le.ac.uk/news/2024/may/international-students
President and Vice-Chancellor at the University of Leicester Professor Nishan Canagarajah comments on confirmation from the UK Government that the graduate route will remain in place for international students of all UK universities
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Reduced Noise Impacts of Short-Term Aircraft Noise (RISTANCO)
https://le.ac.uk/cehs/research/reduced-noise-impacts-of-short-term-aircraft-noise
Principal Investigator - Anna Hansell This National Institute of Health Research funded study aims to investigate whether day-to-day changes in aircraft noise levels affect risk of heart attack and stroke in the population living near airports.
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Leicester academic cited as social media superstar
https://le.ac.uk/news/2017/november/leicester-academic-cited-as-social-media-superstar
Dr Vikas Shah (pictured) from our Medical School has been cited as a ‘superstar’ for his use of social media in enhancing teaching and learning. Jisc has announced their top ten higher education social media superstars of 2017.
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Physics & Astronomy: Page 9
https://staffblogs.le.ac.uk/physicsastronomy/author/leigh_fletcher/page/9/
EGU Medal for Professor Emma Bunce Posted by Physics & Astronomy in Physics and Astronomy Blog on 3 November 2021 Enormous congratulations to Professor Emma Bunce for being awarded the David Bates Medal of the European Geophysical Union (EGU).
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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.
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Advanced Statistical Modelling (Full-time)
https://le.ac.uk/modules/2024/md7444
Module code: MD7444 Survival analysis Survival analysis is concerned with data where we measure the time to an event. In medicine we are often interested in death, i.e. we want to keep people alive and make them live longer.
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Advanced Statistical Modelling (Part-time)
https://le.ac.uk/modules/2024/md7468
Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.
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Advanced Statistical Modelling (Part-time)
https://le.ac.uk/modules/2025/md7468
Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.
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Advanced Statistical Modelling (Full-time)
https://le.ac.uk/modules/2025/md7444
Module code: MD7444 Survival analysis Survival analysis is concerned with data where we measure the time to an event. In medicine we are often interested in death, i.e. we want to keep people alive and make them live longer.