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Andrew Dunn: Page 96
https://staffblogs.le.ac.uk/socscilibrarians/author/andrew_dunn/page/96/
Academic Librarian.
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Social Sciences and Humanities Librarians’ Blog: Academic and staff blogs from the University of Lei
https://staffblogs.le.ac.uk/socscilibrarians/page/96/
Academic and staff blogs from the University of Leicester
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Resources
https://le.ac.uk/vgec/topics/gene-mutations-and-cancer/school-and-colleges/resources
If you're studying towards your A-Levels, take a look at the information we have that can aid you with your studies on genetic mutation and cancer.
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Leicester research cited in new series of the X-Files
https://le.ac.uk/news/2016/february/leicester-research-cited-in-new-series-of-the-x-files
Actors David Duchovny and Gillian Anderson have solved countless mysteries and battled a variety of fierce aliens throughout the years playing agents Mulder and Scully on the X-Files - and now they've turned their attention towards research...
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How video can support active learning
https://staffblogs.le.ac.uk/lli/2018/11/21/how-video-can-support-active-learning/
Posted by Rachel Tunstall in Leicester Learning Institute: Enhancing learning and teaching on November 21, 2018 I recently attended the Panopto EMEA Annual Conference in London.
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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/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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Finance
https://le.ac.uk/policies/finance
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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.
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Advanced Electrical Machines
https://le.ac.uk/modules/2027/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.