The summer school consists of four teaching blocks, each focusing on a specific topic and taught by a different lecturer, as well as a preliminary teaching block (3 hours) on Tuesday 29th of June for a short introduction on machine learning, an alignment abacus to allow students to follow subsequent advanced courses. This will be in blended format, the lecturer in presence at Plesso Belmeloro, classroom B (1st floor).
Each of the other 4 blocks (6 hours each) is complemented by a lab session (2 hours) and/or exercise session (2 hours).
Moreover, seminars given by experts in imaging and covering a wide range of applications will be organized. The final blended session with exams will be organized two weeks after the conclusion of the school.
The total number of hours will be 42 split over two consecutive weeks.
A certificate of attendance and number of 4 ECTS will be assigned.
The Summer School is designed for PhD students as well as early-career researchers (e.g., postdoctoral fellows) with a background in applied mathematics, computer science, engineering, or physics. Particular attention will be paid to ensuring equal access to the Summer School, without discrimination based on sex, ethnicity, religion, or income.