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1. Making space for women to thrive in astrophysics

   More than 100 schoolgirls heard from LJMU astrophysicists during a special British Science Week event that celebrated the contribution of women in STEM.

2. Can supermarket trolleys help cut risk of stroke? - trials underway

   Shopping trolleys will be used to help save people from suffering a stroke by identifying irregular heartbeats, as part of a new medical trial.

3. Study 'solves mystery' of shifts in physical appearance of ancient Nubians

   The shift from hunter-gatherer to farmer likely explains evolutionary jumps in appearance amongst many ancient peoples, says a new study.

4. Scheme helps LJMU employ more local people of colour

   A new scheme, Positive Action Training (PAT), helping local people of colour enter employment at LJMU has been launched by the Vice-Chancellor (interim).

5. Covid-19: Antiviral therapeutics from herbs

   Research finds natural proteins block SARS-CoV-2 from entering human cells

6. AVIT group developing a positive AV experience across campus

   Did you know that LJMU has a dedicated Learning Environment Panel and an Audio Visual and Information Technology (AVIT) group whose combined remit is to improve the quality of teaching space across campus?

7. Maritime SuperSkills Project

   Event to celebrate the successful completion of the project at the Maritime Museum, Royal Albert Dock on 13th June 2019. Attended by Iain McKinnon, Secretary Maritime Skills Alliance, local and national employers and LJMU staff who have helped with the project.

8. LJMU Head of Journalism joins UK Government’s Media Literacy Taskforce

   Fran Yeoman, Head of Journalism in the Faculty of Arts, Professional and Social Studies, has been appointed to the UK Governments Media Literacy Taskforce Steering Board.

9. Is this the largest gas cloud in the known Universe?

   Astronomers discover huge hydrogen cloud - a new clue to formation of stars  

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.