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Teaching Empathy in Clinical Settings (Online)
https://le.ac.uk/empathy/study/teaching-empathy-in-clinical-settings
Teaching Empathy in Clinical Settings (Online)
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Winter 2018 workshop
https://le.ac.uk/miv/workshop-programme/winter-2018-workshop
Explore our minimal surfaces project winter 2018 workshop held at the University of Granada.
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University-supported enterprise picks up regional award
https://le.ac.uk/news/2021/december/brainberry
An innovative healthcare collaboration supported by the University of Leicester has been recognised with a regional award.
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Sarah Wood
https://staffblogs.le.ac.uk/specialcollections/author/sarah_farrell/
Assistant Archivist
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Diana Dukhia
https://le.ac.uk/people/diana-dukhia
The academic profile of Dr Diana Dukhia, Lecturer at University of Leicester
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Dr Hana Trollman
https://le.ac.uk/people/hana-trollman
The academic profile of Dr Hana Trollman, Lecturer in Management at University of Leicester
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History of 19th century building on campus revealed
https://le.ac.uk/news/2016/march/history-of-19th-century-building-on-campus-revealed
New information about the history of 1 Salisbury Road was revealed during a visit by Dr Sula Ellis to the East Midlands Oral History Archive (EMOHA), which is based in the building.
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Publicspirited officials can make a difference to Grenfell Tower public inquiry says security expert
https://le.ac.uk/news/2017/june/public-spirited-officials-can-make-a-difference-to-grenfell-tower-public-inquiry-says-security-expert
A University of Leicester expert in security and disaster management has welcomed the Government’s announcement of a public inquiry into the Grenfell Tower fire, arguing that history has shown that public-spirited officials can be successful in holding those responsible to...
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Citizens of Change: Our second century
https://le.ac.uk/about/strategy
Our Strategic Plan has been shaped by staff and students at the University to help us to realise our aim of pioneering a distinctive elite of research-intensive universities which are open to anyone with talent.
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Machine Learning for Engineers
https://le.ac.uk/modules/2025/eg3213
Module code: EG3213 Modern engineering products increasingly rely on data, and an increase in volume of data brings a need for faster and more efficient processing.