LJMU innovation and business growth specialists meet SMEs at the Sefton Economic Forum
The Horizons team joined other universities to speak with local businesses about increasing productivity.
Search the LJMU website
-
-
Students inspire schoolchildren to think about university
Outreach Team in Recruitment and Admissions run successful eight-week mentoring scheme matching undergraduates with GCSE pupils with Liverpool Arabic Centre
-
Gamma-ray burst captured in unprecedented detail
An international team including LJMU and led by University of Maryland has constructed one of the most detailed descriptions of a gamma-ray burst to date.
-
Staff and community partners celebrate LGBT History Month
To mark LGBT HIstory Month, LJMU Together (the University's LGBT+ Staff Network) organised a social event on Friday 22nd February featuring talks and a chance to play 'Psychic Bingo' with Liverpool's Lady Seanne.
-
Students given unique insight into production of BBC Radio Merseyside’s longest running programme
LJMU's MA Mass Communications students went behind the scenes at BBC Radio Merseyside for a studio tour, followed by an 'in conversation' event with Mike Brocken, presenter of Folkscene, Radio Merseyside's longest running programme.
-
LJMU scoop top accolade at Student Nursing Times Awards
LJMU is celebrating after the university was named Nurse Education Provider of the Year (Pre-registration) at the Student Nursing Times Awards 2018.
-
Humanitarian migrant mission wins top THE Award
Face Lab project to identify migrants who die crossing the seas to Europe judged best research project of 2023
-
Report on benefits of outdoors debated in Scottish Parliament
Dr Kaye Richards' Outjoyment Report for the Camping and Caravanning Club is having a significant impact nationwide
-
LJMU developing climate institute
LJMU is developing proposals to launch our own climate institute and we want to involve staff who can help it make an impact.
-
Smart meter data could help identify dementia
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.