Apply for 'Nia': career development programme for ethnically diverse staff
Applications for the ‘Nia’ development programme 2023 are now open to ethnically diverse staff at LJMU.
Applications for the ‘Nia’ development programme 2023 are now open to ethnically diverse staff at LJMU.
Diwali is the famous festival of lights, when families and friends get together to feast and celebrate. The five day festival begins on Sunday 27th October 2019; each day has its own individual meaning and associated celebration. The third day of Diwali is regarded as the most important day. Diwali literally means a ‘row of Lights’. It is a celebration of light! It is a time filled with light and love. The festival does not follow the Gregorian but rather the Hindu calendar known as ‘Tithi,’ which is a lunar calendar. We would like to wish all our students and staff community who celebrate this festival a very happy Diwali!
The aboriginal inhabitants of the Canary Islands, commonly known as the Guanches, originated from North Africa. A team of international researchers has now confirmed.
The guest lecturers included Premier league football coach Mike Phelan and England International netball player Sara Bayman.
A worldwide network of active cities is set to expand following a knowledge-sharing event attended by ten different countries.
Carlos Ghosn provides exclusive testimony for management paper
An LJMU spearheaded initiative to increase physical activity within cities across the globe has been shortlisted for a prestigious Times Higher Education Award.
The LJMU Global Opportunities Team is delighted to announce the launch of a new Global Opportunities Portal. This portal has been developed in-house by the LJMU ITS Team to offer a better user experience to our students seeking new experiences abroad.
As the exam period gets underway, we understand it can be a stressful time for students but also for our staff, so were reminding everyone of the free 24/7 support services available at LJMU.
Conservation AI platform applies machine learning to identify animals in double time