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Dissertation
https://le.ac.uk/modules/2026/ar3603
Module code: AR3606 Your dissertation gives you the opportunity to bring together all the research skills and wider reading that you have continually been developing over the course of your degree and use these skills to produce an extended piece of independent research.
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Conducting a systematic literature review: reflections and resources – University of Leicester
https://staffblogs.le.ac.uk/loproject/2014/04/10/systreview/
The Learning Outcomes Project at the University of Leicester. Conducting a systematic literature review: reflections and resources.
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Junior Emergency Medicine (JEM)
https://le.ac.uk/study/schools-and-colleges/post-16/junior-emergency-medicine-jem
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News archive 2023
https://le.ac.uk/law/news/law-news/news-archive-2023
Read news stories from the school in 2023
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Publications
https://le.ac.uk/country-house-technology/publications
Some other publications Nineteenth-century technical innovations in British Country Houses and their estates, by Marilyn Palmer and Ian West. Engineering History and Heritage, Vol 166 Issue EH1.
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Centre approach
https://le.ac.uk/empathy/about/approach
Find out more about the approach of the Stoneygate Centre for Empathic Healthcare.
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Support for students with ADHD
https://le.ac.uk/accessability/support/adhd-support
Support for students with ADHD at University of Leicester
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Teachers and careers advisers
https://le.ac.uk/study/schools-and-colleges/teachers
The Future Students Office provides expert information, advice and guidance to students, parents and teachers, wherever you are in the world.
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School of Business talk to ask whether statistics matter in a world of fake news
https://le.ac.uk/news/2018/february/school-of-business-talk-to-ask-whether-statistics-matter-in-a-world-of-2018fake-news2019
For an upcoming lecture, National Statistician John Pullinger will discuss how statistical communication between those creating and using statistics can be improved.
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Spotlight on CLANet -- Deep learning in cell line authentication
https://le.ac.uk/computing-and-mathematical-sciences/research/life-health-sciences/clanet
CLANet is an AI framework developed by Professor H Zhou's and collaborators, and funded by AstraZeneca Ltd. Cell line authentication plays a crucial role in the biomedical field, ensuring researchers work with accurately identified cells.