International Women's Day - Tuesday 8 March
This year's International Women's Day theme is #BreakTheBias and Ambar Ennis, VP Community and Wellbeing at JMSU and Julia Daer, EDI Advisor discuss what this means to them.
This year's International Women's Day theme is #BreakTheBias and Ambar Ennis, VP Community and Wellbeing at JMSU and Julia Daer, EDI Advisor discuss what this means to them.
Four lucky Liverpool John Moores University Screen School students got the opportunity of a lifetime when they joined the production staff for the filming of The Batman, which premieres this week.
LJMU's acclaimed Refugee Nursing course made the headlines again in a feature on BBC1's flagship Morning Live programme.
In a special edition of the LJMU 1823 Podcast: The road to Silverstone, Dr Christian Matthews is joined by LJMU e-Racing Head of Team 2022, MSc student Cameron Reedy, and former Head of Team, Rhian Griffith, who now works as a mechanical engineer at the Small Robot Company.
The HR team at Liverpool Business School are Project Evaluators for DaDaFest. Our role as project evaluators is to conduct a systematic assessment of the ongoing work at DaDaFest over three years. This role is a critical part of DaDaFest Paul Hamlyn award.
Young research students who won a major European data science competition have shared a prize of 50,000!
A mini-conference highlighting developments in decolonial approaches to teaching and research across the university featuring three sessions of talks and discussion on decolonising pedagogy, assessment and research methods, will take place in November.
22 universities, including Liverpool John Moores University and JMSU have pledged to develop a Student Futures Manifesto joint action between a university and its students to improve the student experience.
From community sports clubs that support people with special educational needs to premier league football clubs, 173 students have undertaken 14,730 hours of work-based placements this academic year.
Energy use patterns from smart meter data could be used to help identify whether people are suffering from conditions such as dementia and depression, computer scientists have shown.