This course will explore how living systems make use of circuits and networks to process information from neuroscience to synthetic biology.

The goal of this course is to better understand how interfaces instabilities can affect morphogenesis. 

Statistical machine learning is a growing discipline at the intersection of computer science and applied mathematics (probability / statistics, optimization, etc.) and which increasingly plays an important role in many other scientific disciplines. 

The goal of this course is to introduce string theory. 

Statistical physics is witnessing a revolution : understanding the dynamics of a very large number of interactive degrees of freedom, which has been from the beginning the main aim of statistical physics, has become now a central problem in many fields such as physics, biology, computer science, just to cite a few.

Quantum Field Theory (QFT) is one of the cornerstones of modern physics, encompassing Quantum Mechanics and Relativity in an unique coherent framework, providing the logical foundations  of high energy physics. QFT has found applications in almost any branch of modern theoretical physics, from particle physics to cosmology, from gravity to statistical mechanics,  and even beyond.