PhD in inverse problems for biomedical images (M/F)

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description The PhD candidate will benefit from the financial support of the ANR-funded UNGRAM project to attend workshops and conferences, and from the rich scientific environment of both the UNGRAM consortium, gathering researchers from Nantes, Vannes and Tours as well as international collaborators in the United States and in Italy. He/she will also have the opportunity to collaborate with a postdoc as well as two interns to be recruited in the project. The recruited candidate will be hired by the Centre National de la Recherche Scientifique (CNRS) in the framework of ANR grant UNGRAM holded by B. Pascal. He/she will integrate the Laboratoire des Sciences du Numérique de Nantes (LS2N), in the Signal, Image and Sound (SIMS) team and work on the campus of Centrale Nantes, a top-level engineering school. Breast cancer is the most represented cancer among women worldwide and a major cause of mortality. Early detection is key to the patient's survival. This motivates vast coordinated screening of populations, which mostly uses projectional X-ray mammography. During the past years, research has extended its objectives beyond tumor detection and now put much efforts in risk assessment in order to intensify surveillance of women at higher risk of developing a breast cancer. It has been known for decades now that the parenchymal patterns visible in mammographies reflect cancer risk. Yet, identifying