PhD Position: Graph Neural Networks for morpho-functional analysis and comparison of brain structures

Supervisors: Jean-Yves Ramel (LIFAT Université de Tours) – Elodie Chaillou (INRAE Nouzilly)

Very short description: In the context of a multidisciplinary collaboration between data/computer scientist and neurobiologists, the proposed thesis aims to create new methods and algorithms for anatomical and functional analysis and comparison of brain structures using recent deep neural networks techniques dedicated to graphs (GNN, geometric deep learning …).

More information:https://lifat.univ-tours.fr/medias/fichier/offre-phd-gnnbrain2022_1648463721506-pdf

Please submit pdf files of your CVs along with any meaningful information for the position (motivation letters, reference letters, code source, academic records, awards, articles, …).  If your application is selected, you will then be contacted for further information and interview details.

Contact: <jean-yves.ramel@univ-tours.fr><elodie.chaillou@inrae.fr>