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University of Leicester’s new support for parents of babies born premature or requiring neonatal care awarded charter mark
https://le.ac.uk/news/2023/january/employer-with-heart-neonatal-leave
The University of Leicester has been recognised for its support of parents of premature babies and those who required neonatal care with the Employer with Heart charter mark from the charity The Smallest Things.
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Nuclear Graphite
https://le.ac.uk/cse/research/facilities/hercules/case-studies/nuclear-graphite
Preparation of free-standing pillar Nuclear Graphite Graphite is hugely important for the construction of both historical and modern nuclear reactors [1], acting as a neutron moderator.
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Research project will help those affected by Huntington’s disease
https://le.ac.uk/news/2025/november/leicester-huntingtons-disease-award
Clinical psychologist Dr Sarah Gunn, from the University of Leicester, has been awarded nearly £2 million to advance her work in the field of Huntington’s disease
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Privacy notice
https://le.ac.uk/ukags/personal-info
Read our privacy notice at The United Kingdom Aneurysm Growth Study
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Sensory Reading: New Approaches to Teaching and Learning GCSE English Literature
https://le.ac.uk/research/projects/sensory-reading
Led by Professor Phil Shaw and Dr Scott Freer in the Department of English, ‘Sensory Reading’ aims to develop outreach opportunities arising from Phil Shaw’s AHRC Leadership Fellow project, Wordsworth 2020.
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Leicester mini workshop, July 2018
https://le.ac.uk/miv/workshop-programme/july-2018-leicester-mini-workshop
We held a mini-workshop for the minimal surfaces project at the University of Leicester in July 2018.
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People
https://le.ac.uk/cls/cls-equality/medrace/people
MedRACE is a student and staff working group within Leicester Medical School.
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Geospatial Artificial Intelligence
https://le.ac.uk/modules/2025/gy7708
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Geospatial Artificial Intelligence
https://le.ac.uk/modules/2026/gy7708
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Geographical Artificial Intelligence
https://le.ac.uk/modules/2024/gy7708
Module code: GY7708 This module builds on the data science skills developed in the first semester to explore the application of artificial intelligence (AI) approaches to the study of geography.