3 energy PhD positions at Inria

PhD Position F/M Trustworthy AI hardware architectures

designing custom and embedded Artificial Intelligence HardWare architectures (AI-HW) to support energy-intensive data movement, speed of computation, and large memory resources that AI requires to achieve its

PhD Position F/M Campagne doctorant 2024 - Emergence of mesoscale

, since they have been shown as unable to achieve it [ 9 ]. Finally we also propose to explore how local learning algorithms for energy-based models could play a role in artificial networks mesoscale

PhD Position F/M Developing a deep learning framework to design cyclic

model to design cyclic peptide sequences toward specific target. To do so, the student requires to have extensive background in deep learning and computational biology. [1] J. D Scott and T. Pawson. Cell