The University of Genova is offering two PhD positions focused on innovative approaches in fluorescence microscopy, specifically in optimization-driven learning and generative model-aware learning for image reconstruction. The positions will involve research on optimization-based learning strategies and model-aware techniques to improve image reconstruction under challenging conditions. Students will work on real-world microscopy data and collaborate with the research group of G. Vicidomini. This is an opportunity to engage in cutting-edge research at the intersection of mathematics, computer science, and machine learning.
