Search the LJMU website

Search results filters

1. The people who built JMU: exhibition from today

   Educational Pioneers: Fanny Calder, James Gill and the making of a modern university opens

2. LJMU ‘Eco-bricks’ set to extinguish Bangladesh’s polluting kilns

   Civil Engineers from LJMU are helping solve one of the most pressing industrial problems in Bangladesh with a new process for making bricks.

3. From female students to football leaders

   Football-mad students are on their way to dream roles after graduating from the elite FA University Womens Leadership Programme.

4. Cosmic explosions offer new clue to how stars become Black Holes

   Scientists have witnessed for the first time exactly what happens to the most massive stars at the end of their lives.

5. Space expert Renske on the excitement around the James Webb Space Mission.

   ARI researcher on BBC News to describe the search for the beginning of the Universe.

6. Discovery of 'invisible' galaxies deep in Space

   The discovery of invisible galaxies billions of light years from Earth is helping us understand the origins of the Universe, say astrophysicists.

7. Stars’ odd behaviour gives up hidden black holes

   Black hole hunters are turning detective to uncover hidden behemoths in Space.

8. English all at sea over fish identification - try our 'Name That Tuna' quiz

   Lack of consumer awareness makes conservation of fish stocks more challenging - research

9. LJMU receives Collaborative Award for Teaching Excellence and National Teaching Fellowship

   LJMU is one of 15 teams to win the Collaborative Award for Teaching Excellence (CATE) and an LJMU academic has also been awarded one of 54 National Teaching Fellows (NTF). Dr Philip Denton, Principal Lecturer at the School of Pharmacy and Biomolecular Sciences, is the recipient of the NTF and the paramedic team at LJMU’s Schools of Nursing and Allied Health received the CATE.

10. 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.