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Don’t miss out – join us for our digital Offer Holder Day
https://le.ac.uk/news/2020/april/digital-offer-holder-day
University of Leicester Digital Offer Holder Day 6th May 2020
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UK and Ireland Occupational and Environmental Epidemiology - 18th Annual Meeting
https://le.ac.uk/cehs/conference2025
18th Annual UK and Ireland Occupational and Environmental Epidemiology Meeting
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Committee Dates - University Almanac 2024-2025
https://le.ac.uk/about/who-we-are/governance/almanac/2024-2025
The University Almanac gives the dates and times of all scheduled meetings of Council, Senate and key University Committees. It also gives details of other significant University events.
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News
https://le.ac.uk/chemistry/news
Take a look at what's happening in Chemistry at Leicester. Browse University and national news, or find stories published directly by our Chemistry team.
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International Business Dissertation
https://le.ac.uk/modules/2026/mk7054
Module code: MK7054 This is the most substantive piece of work that you will undertake during your studies at the School of Business.
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Metadata
https://le.ac.uk/training-guides/metadata
Learn more about adding in metadata to Sitecore.
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Svetlana Aleksandrova
https://le.ac.uk/people/svetlana-aleksandrova
The academic profile of Dr Svetlana Aleksandrova, Lecturer at University of Leicester
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Living the Anthropocene
https://le.ac.uk/modules/2027/gy7712
Module code: GY7712 This module provides an in-depth introduction to the Anthropocene. In particular, it focuses on the ways in which humans have become geological agents, and on the effects that such agency has on Earth’s bio-physical systems.
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Britain’s Imperial Economy: Power, Wealth and Colonialism 1830-1939
https://le.ac.uk/modules/2027/hs3614
Module code: HS3614 This module explores the relationship between British ‘imperialism’ and the expansion of Britain’s society and economy in the century leading up to 1939.
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Health Data Science Project
https://le.ac.uk/modules/2027/md7477
Module code: MD7477 The 12-week project gives you the opportunity to carry out an extended and in-depth piece of work on a real problem in health data science.