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1 in 3 Muslim students suffered discrimination and abuse
https://staffblogs.le.ac.uk/socscilibrarians/2018/03/23/1-in-3-muslim-students-suffered-discrimination-and-abuse/
Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on March 23, 2018 The shocking findings from a recent NUS survey is that ‘1 in 3 Muslim students suffered discrimination and abuse’ In November 2017, NUS Women’s and Black Students’ campaigns undertook...
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Terms and conditions of annual and termly membership
https://le.ac.uk/sports/membership/annual-t-and-c
Read the terms and conditions of annual membership.
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Scholars discuss the formalisation and implications of the Anthropocene
https://le.ac.uk/news/2018/september/scholars-discuss-the-formalisation-and-implications-of-the-anthropocene
Scholars discuss the formalisation and implications of the Anthropocene Scholars discuss the formalisation and implications of the Anthropocene| The Anthropocene Working Group holds meeting at the Max Planck Institute for Chemistry. Humans have had a large impact on Earth.
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Goal 5: Gender Equality
https://le.ac.uk/about/making-a-difference/sdgs/gender-equality
The fifth Sustainable Development Goal is to achieve gender equality and empower all women and girls.
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Archaeological placement
https://le.ac.uk/ulas/about/work-placements/placement
ULAS offers a 3 to 6 month commercial fieldwork placement, intended for those who are interested in gaining knowledge surrounding all aspects of practical training in field archaeology.
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Library Special Collections: Academic and staff blogs from the University of Leicester: Page 5
https://staffblogs.le.ac.uk/specialcollections/page/5/
Academic and staff blogs from the University of Leicester
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Placement 3
https://le.ac.uk/modules/2026/py3115
Module code: PY3115
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Placement 3
https://le.ac.uk/modules/2025/py3115
Module code: PY3115
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Placement 3
https://le.ac.uk/modules/2024/py3115
Module code: PY3115
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Econometrics 3
https://le.ac.uk/modules/2024/ec3062
Module code: EC3062 This module deals with how time series analysis of economic data can be used to make predictions about the economic climate. You will look at non-stationary time-series from an economists view.