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Aim of this School is to present general methods and algorithms as well as numerical issues and challenges related to mathematical imaging and statistical learning. Two independent courses of 10-12 hours each will be delivered by talented experts in the field.

The lectures are self-contained and cover important topics (from basics to state-of-the-art) of a multidisciplinary flourishing research field. This School is addressed to an audience of graduate students of applied math, computer science, engineering as well as young post-doctoral researchers.

Registration is free but mandatory for organisational purposes.

The school is part of the Master Degree in Mathematics of the University of Verona.

Dr. Carola Schoenlieb
University of Cambridge - UK
Course Link (06 / 16 October)
Dr. Valeriya Naumova
Simula Research Laboratory - Norway
Course Link (16 / 24 October)