Search
-
EAP Students
https://le.ac.uk/modules/2024/en7910
Module code: EN7910 This module looks at the relationships between students’ learning experiences and their expectations when entering higher education, as well as how these expectations relate to the expectations of academic staff.
-
VBA Traning
https://le.ac.uk/modules/2024/ma3902
Module code:MA3902
-
VBA Training
https://le.ac.uk/modules/2024/ma7902
Module code:MA7902
-
Andrew Dunn: Page 25
https://staffblogs.le.ac.uk/socscilibrarians/author/andrew_dunn/page/25/
Academic Librarian.
-
Andrew Dunn: Page 213
https://staffblogs.le.ac.uk/socscilibrarians/author/andrew_dunn/page/213/
Academic Librarian.
-
Celebrating International Day of Women and Girls in Science 2021 – Part 2
https://staffblogs.le.ac.uk/physicsastronomy/2021/02/18/celebrating-international-day-of-women-and-girls-in-science-2021-part-2/
Posted by Physics & Astronomy in Physics and Astronomy Blog on 18 February 2021 On February 11th the School of Physics and Astronomy joined in with the International Day of Women and Girls in Science celebrations, using Twitter (@PhysicsUoL) to showcase some of the...
-
University of Leicester receives VIP visit
https://le.ac.uk/news/2017/january/university-of-leicester-receives-vip-visit
Our University has today welcomed a VIP from the United States of America. It is a common misconception that ‘VIP’ always stands for Very Important Person. Actually, sometimes it stands for Very Important Per.
-
Andrew Dunn: Page 214
https://staffblogs.le.ac.uk/socscilibrarians/author/andrew_dunn/page/214/
Academic Librarian.
-
University of Leicester hosts event to encourage businesses to take on ex-Forces staff
https://le.ac.uk/news/2025/may/university-leicester-event-businesses-ex-forces-staff
East Midlands business leaders discovered how Forces veterans and reservists can benefit their organisations at an event held by the University of Leicester.
-
AI analysis of urine can predict flare up of lung disease a week in advance
https://le.ac.uk/news/2024/november/lung-study
A University of Leicester-led study has used artificial intelligence (AI) to analyse patient urine samples and predict when symptoms of chronic obstructive pulmonary disease (COPD) will flare up according to a study published today in ERJ Open Research.