Postdoctoral Position in Medical Imaging

Study of the origin of masses in the Standard Model of elementary particles. Particularly employing the framework of composite scalars fields, as considered initially by W.A. Bardeen, C.T. Hill and M. Lindner in 1990.

Analysis of the generation of masses for active and sterile neutrinos with special attention on seesaw type of models, including inverse seesaw.

Study of methods for a dark matter candidate to explain the relic abundance observed today in the Universe. In particular, in the framework called freeze-out mechanism. Experience in processes leading to kinetic and chemical equilibrium between the dark and visible sectors.

Image Reconstruction in limited-angle tomography dedicated to breast and chest imaging, in particular for digital breast and chest tomosynthesis. This encompasses the employment of two reconstruction approaches. On the one side, reconstruction algorithms with a model-based approach employing knowledge of the underlying physics or characteristics of the image acquisition. On the other side, it includes deep learning reconstruction methods to account for the anatomical-feature patterns present in tissue structures.

Development of iterative algorithms for the recovery of true acquisition geometry in digital breast and chest tomosynthesis over multiple scenarios of uncertainty.