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Leicester academic to lead UN session on transport of the future
https://le.ac.uk/news/2024/may/sarah-jane-fox
University of Leicester’s Dr Sarah Jane Fox will lead a session on sustainable transport at the United Nations in Geneva, Switzerland this month. The session is part of the World Summit on the Information Society (WSIS) which is taking place from 27 May until 31 May.
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Ratby, Leicestershire
https://le.ac.uk/emoha/themes/dialect/leicestershire/ratby
Listen to speakers from Ratby, Leicestershire from a range of backgrounds as part of the dialect project between researchers from Nottingham Trent University and the University of Leicester.
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Fundamentals of Evidence Based Practice
https://le.ac.uk/modules/2025/nu1018
Module code: NU1018 This module is facilitated using a combination of lectures and workshops including on-line lectures, Pod casts and practice based learning, delivered in small uni-professional groups and in multi-professional groups that involve students from midwifery and...
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Fundamentals of Evidence Based Practice
https://le.ac.uk/modules/2026/nu1018
Module code: NU1018 This module is facilitated using a combination of lectures and workshops including on-line lectures, Pod casts and practice based learning, delivered in small uni-professional groups and in multi-professional groups that involve students from midwifery and...
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Fundamentals of Evidence Based Practice
https://le.ac.uk/modules/2027/nu1018
Module code: NU1018 This module is facilitated using a combination of lectures and workshops including on-line lectures, Pod casts and practice based learning, delivered in small uni-professional groups and in multi-professional groups that involve students from midwifery and...
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Machine Learning for Engineers
https://le.ac.uk/modules/2025/eg3213
Module code: EG3213 Modern engineering products increasingly rely on data, and an increase in volume of data brings a need for faster and more efficient processing.
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Machine Learning for Engineers
https://le.ac.uk/modules/2027/eg3213
Module code: EG3213 Modern engineering products increasingly rely on data, and an increase in volume of data brings a need for faster and more efficient processing.
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Machine Learning for Engineers
https://le.ac.uk/modules/2026/eg3213
Module code: EG3213 Modern engineering products increasingly rely on data, and an increase in volume of data brings a need for faster and more efficient processing.
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Economics of Football
https://staffblogs.le.ac.uk/socscilibrarians/2015/06/08/economics-of-the-football/
Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on June 8, 2015 Football has dominated the news this week. The high sums of money involved in the World Cup mean that politics and corruption can become involved.
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Powerful partnerships for a better future
https://le.ac.uk/news/2018/may/powerful-partnerships-for-a-better-future
A ‘town and gown’ meeting for academics and local people to work together to build a better future for Leicester is being held at our University. Leicester Matters brings together the local community and the University of Leicester to identify ideas for future cooperation.