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Ultra-hot gas around remnants of Sun-like stars
https://le.ac.uk/news/2018/november/07-stars
Stars (Left) Artist’s impression of the hot white dwarf GALEXJ014636.8+323615 (white) and its ultra-hot circumstellar magnetosphere (purple) trapped with the magnetic field (green). Credit: N. Reindl. (Right) Colour image of the white dwarf GALEXJ014636.
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Should sexist adverts be banned?
https://staffblogs.le.ac.uk/socscilibrarians/2019/08/16/should-sexist-adverts-be-banned/
Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on August 16, 2019 This week the first prosecutions were made against adverts considered sexist by the new ASA code on gender stereotyping.
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Celebrating 40 years of DNA fingerprinting
https://le.ac.uk/news/2024/september/dna-fingerprinting
Today (10 September) marks the 40th anniversary of a ground-breaking discovery that transformed the way criminal investigations were carried out: DNA fingerprinting.
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Major donation to enhance life-changing kidney research at Leicester
https://le.ac.uk/news/2022/march/mayer-igan
Pioneering research by the University of Leicester into chronic kidney disease has received a major boost on World Kidney Day following a generous £1million donation from long-term supporter and kidney health advocate Jimmy Mayer.
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Can smart t-shirt technology improve diagnosis of breathing disorders?
https://le.ac.uk/news/2026/april/smart-technology-breathing-disorders-leicester
Leicester researchers are testing whether an innovative smart t shirt can help clinicians more accurately diagnose breathing pattern disorders - a group of conditions that are difficult to identify using current methods.
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Public lecture series to celebrate 100 years of research
https://le.ac.uk/news/2021/october/difficult-conversations
Brookfield is the new home of the University’s School of Business, situated in the historic Stoneygate Conservation Area.
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Finance
https://le.ac.uk/policies/finance
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Advanced Electrical Machines
https://le.ac.uk/modules/2026/eg4211
Module code: EG4211 In this module we will learn how to make detailed calculations and predictions of the operation of machines under steady state and dynamic conditions, and when connected to electronic drives.
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Katie Moylan
https://le.ac.uk/people/katie-moylan
The academic profile of Dr Katie Moylan, Associate Professor at University of Leicester
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Advanced Electrical Machines
https://le.ac.uk/modules/2025/eg4211
Module code: EG4211 In this module we will learn how to make detailed calculations and predictions of the operation of machines under steady state and dynamic conditions, and when connected to electronic drives.