A new multidisciplinary PhD project on the quantification of cardiovascular flow has become available. This project is part of an established collaboration with clinicians in Cardiology and Radiology at the Lausanne University Hospital (CHUV) that has already had an impact in changing clinical practice. You will have the opportunity to disseminate your work and collaborate with our extensive international network of research institutions including our partners for this flow project, Northwestern University in Chicago, USA. Highly motivated engineering and physicists are encouraged to apply before March 15. More information can be found here.
Congratulations to Dr. Christopher W. Roy for receiving an SNSF Ambizione career grant on the development of novel fetal MRI techniques! This grant enables Dr. Roy to expand his activities with fetal MRI, to establish his own research group, and to deepen his clinical collaborations in Lausanne and elsewhere. The project includes a PhD position on the development of fetal-specific dynamic 3D acquisition and reconstruction strategies – download the description below and apply before it’s gone!
Congratulations to Dr. Aurélien Bustin for receiving the prestigious Jeunes Chercheurs fellowship from the French National Research Agency (ANR) on “Highly detailed characterization of myocardial scar”. We all look forward to 3 more years of innovations and fruitful collaboration between Lausanne (CHUV) and Bordeaux (LIRYC).
Congratulations to Dr. Aurélien Bustin, PhD for being awarded a Junior Fellowship at the International Society for Magnetic Resonance in Medicine for his outstanding early-career research and commitment to the society.
Congratulations to Dr. Ruud van Heeswijk, PhD for receiving a Sinergia multidisciplinary grant from the Swiss National Science Foundation (SNSF) together with Roger Hullin, MD (CHUV Cardiology), Philippe Meyer, MD (HUG Cardiology), and Jonas Richiardi, PhD (CHUV Radiology). In this four-year project, dubbed HeartMagic, the invesigators will study heart failure with preserved ejection fraction (HFpEF) with a broad range of modalities, including MRI, genomics, and metabolomics. They will they use state-of-the art machine learning to find subtypes of the disease, with the ultimate goal of pinpointing therapeutic inroads for the treatment of these HFpEF subtypes.