-
software engineers. He will have access to enhanced computer clusters and state-of-the-art transmission electron microscopes (TEM) either located at institute NEEL (Neoarm + medipix camera) or CEA (Neorm
-
of massive galaxies from the primordial Universe to z~2. This project combines a unique JWST dataset with state-of-the art hydrodynamical simulations and machine learning techniques to understand the origins
-
of the project is to exploit such data to develop generative models for aptamer design. The candidate is expected to have a strong background in machine learning and statistical physics, with a real interest for
Searches related to machine learning
Enter an email to receive alerts for machine-learning "CEA" positions