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The Jo Williams Placement Clinic privacy notice
https://le.ac.uk/policies/privacy/health/jo-williams
Read the privacy notice for the Jo Williams Placement Clinic at the University of Leicester.
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Alexander Baranov
https://le.ac.uk/people/alexander-baranov
The academic profile of Dr Alexander Baranov, Lecturer at University of Leicester
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High-speed supernova reveals earliest moments of a dying star
https://le.ac.uk/news/2019/january/17-physics-cocoon
'Hot cocoon' of material enveloping a relativistic jet escaping a dying star. Artist’s impression by Anna Serena Esposito 'Hot cocoon' of material enveloping a relativistic jet escaping a dying star.
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MSc Research Project
https://le.ac.uk/modules/2024/ch7362
Module code: CH7362 Your MSc research project will be a substantial, original and impactful contribution to chemistry research conducted in one of the School’s specialist research areas.
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Covid in Cartoons
https://le.ac.uk/covid-in-cartoons
Empowering a thick narrative of the crisis by promoting cultural literacy and diversity skills amongst vulnerable young people UKRI/AHRC Covid-19 Rapid Response call (£352,054 at 100% FEC and £296,928 at 80% FEC).
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Polymerise
https://le.ac.uk/chemistry/about/edi/polymerise
The polymerise project aims to promote diversity in chemistry by providing ring-fenced funding for students from minoritised ethnic backgrounds to gain paid research experience.
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Fay Baldry
https://le.ac.uk/people/fay-baldry
The academic profile of Dr Fay Baldry, Associate Professor at University of Leicester
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Netball teams 24hour sponsored shootout raises over 1000 for Open Hands charity
https://le.ac.uk/news/2018/february/netball-team2019s-24-hour-sponsored-shootout-raises-over-ps1000-for-open-hands-charity-1
The University’s Netball team have recently raised over £1000 for the Open Hands charity through a 24 hour sponsored shootout on campus.
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Advanced Electrical Machines
https://le.ac.uk/modules/2025/eg7034
Module code: EG7034 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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Advanced Electrical Machines
https://le.ac.uk/modules/2026/eg7034
Module code: EG7034 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.