2 deep-learning PhD positions at CNRS in France

PhD Position (M/F): Physics-Informed Neuromorphic Approaches for Radiative Modeling of Three-Dimensional Cloudy Atmospheres

CNRS | Villeneuve la Garenne, le de France | France | about 8 hours ago

-informed deep learning is rapidly advancing, integrating artificial intelligence with the governing physical laws to achieve more faithful representations of atmospheric processes. In the field of remote

PhD student (M/F) in design of thermodynamic cycles using generative models

CNRS | Nancy, Lorraine | France | about 8 hours ago

for automatic process generation. Generative approaches, using deep learning algorithms, can generate new process structures, surpassing conventional optimization techniques. Objectives of the ATHENA project