SEARCHING
As part of a research project to better understand the human mind, a research group at the University of Luxembourg, led by FNR ATTRACT Fellow and experimental psychologist Prof Pedro Cardoso-Leite, has developed a game to help children learn to count. The game is a research tool in itself: the goal is to help children learn by understanding how they learn.
The FNR is pleased to announce the launch of the 2019 OPEN Call for proposals. Deadline for submission is Thursday, 6 June 2019, 14:00 CET.
When a child is born by vaginal birth, important immune system-stimulating bacteria pass from the mother to the baby, which could explain why babies delivered by caesarean are more prone to diseases linked to the immune system. This important discovery was made by a team of researchers in a study led by FNR ATTRACT Fellow Associate Prof Dr Paul Wilmes from the LCSB at the University of Luxembourg.
Dr Stan Schymanski is passionate about nature and the outdoors, so much that he shaped his education and career around it. At the Luxembourg Institute of Science and Technology (LIST), the biologist studies various aspects of how plants interact with their surroundings. We spoke to the German national about dual science careers, understanding plants, and what it’s like to be a scientist studying the effects of a changing climate.
Researchers at the University of Luxembourg have discovered a molecular mechanism that is responsible for the spread of cancer cells in the body and the development of metastases in patients with colon cancer. Their findings, published in ‘Cancer Research’, could help to develop treatments that inhibit tumor growth.
Deep Brain Stimulation (DBS) has shown particular effectiveness in treating symptoms associated movement disorders, but uncertainty still looms over the most effective spots to target, and surgeons need a more automated way of testing the implanted electrodes. As part of his AFR PhD project at the Centre Hospitalier de Luxembourg (CHL), computer scientist Dr Andreas Husch developed innovative image-based computational approaches to aid DBS, which are already being used by scientists across the world.
Deadlines:
Sunday 20 January 2019 14:00 CET (or first working day thereafter)
Deadlines:
Sunday 20 January 2019 14:00 CET (or first working day thereafter)
