This summer school is open to PhD students and post-doctoral fellows in biology and bioinformatics who wish to integrate the latest artificial intelligence techniques in their research. The participants will acquire theoretical knowledge and practical know-how on data representation, architecture design, and training/testing protocols. We will put a particular emphasis on the specific properties of protein sequences and structures, and on how these properties can be leveraged for improving the learning process.
Read more here.
Teachers
Sophie Barbe, TBI, INSA – CNRS – INRAE
Claire Boyer, LPSM, Sorbonne University
Tatiana Galochkina, DSIMB, INSERM – University of Paris
Alessandra Carbone, LCQB, CNRS – Sorbonne University
Jean-Christophe Gelly, DSIMB, INSERM – University of Paris
Sergei Grudinin, LJK, CNRS
Elodie Laine, LCQB, CNRS – Sorbonne University
Application deadline is April 15th. A maximum of 20 participants will be selected.
photo credit: cedric.lacrambe, CC BY-SA 4.0 <https://creativecommons.org/licenses/by-sa/4.0>, via Wikimedia Commons