Data sleuths’ work is thankless. They must get credit for retractions The scientific record should reflect what actually happened, not a sanitised narrative that leaves out the messy bits, say Ivan Oransky and David B. Allison By Ivan Oransky 15 January
Detecting Parkinson’s Disease using Deep Learning Techniques from Smart Phone Data Promoted by Khalifa University
Using new methodology to improve renewable energy efficiency Promoted by University of Aberdeen - Research Hub
Doric instructions to put local MRI patients at ease Promoted by University of Aberdeen - Research Hub
Ice Stupas - bringing water to some of the driest, coldest places on Earth Promoted by University of Aberdeen - Research Hub
Female Bangladeshi garment workers bear the cost of Covid disruptions, new research finds Promoted by University of Aberdeen - Research Hub
International students offered chance to discover history of ancient Greece Promoted by Study in Greece
Renowned Greek university launches ‘world-class’ English-language medical degree Promoted by Study in Greece