Walls along River Nile reveal ancient form of hydraulic engineering
An international team of researchers says a vast network of stone walls along the River Nile in Egypt and Sudan has revealed an ancient form of hydraulic engineering in the Nile Valley and shed light on connections between ancient Nubia and Egypt.
A hand up with education: Celebrating 20 years of scholarship support
Nancy Caiger believes strongly that those who receive a helping hand in life should pay it forward, when they can.
iAccelerate launches scholarship drive to help women in business thrive
Do you have a business idea but are not sure how to get it off the ground? Are you working to help your community and would benefit from the tools and knowledge to have a greater impact?
Major global honour for master of microwearables
An Aussie inventor and entrepreneur reshaping the future of global healthcare with microwearable technology has been recognised for the incredible impact of his work.
New study finds gaps in maternal immunisation data sets
A study led by a University of Canterbury geospatial and population health expert has uncovered gaps in nationwide data that tracks maternal immunisation rates.
New drug to combat global killer sepsis
A promising new drug to combat sepsis has been developed by researchers at The Australian National University, potentially saving millions of lives each year.
Bristol professor wins prestigious RCGP award
A University of Bristol Professor of Primary Health Care and an NIHR Senior Investigator has been awarded the George Abercrombie Award for his outstanding contributions to the literature of general practice.
HKU Engineering scholar reveals in first global study hugely uneven urbanization among large cities...
According to the latest report from the United Nations (UN), the global population in 2018 was 7.6 billion and the urban population was 4.2 billion.
ARC Future Fellowship recipients announced
Researchers from the University of Adelaide have been awarded more than $7.5 million in the latest Australian Research Council Future Fellowships.
Machine learning tool gives early warning of cardiac issues in COVID-19 patients
New algorithm could warn doctors in advance of cardiac arrest or blood clots in hospitalized COVID-19 patients
