Likelihood-free cosmological parameter inference using theoretical high-order statistics predictions Posted on December 16, 2021December 16, 2021 by Jean-Luc Starck Likelihood-free cosmological parameter inference using theoretical high-order statistics predictions Position: PhD Deadline: 01/04/2022 Contact: Jean-Luc Starck, Sandrine Codis Details about this position are provided in the following PDF.
Optimal Transport and Deep Learning to model the Euclid Point Spread Function Posted on September 14, 2018September 16, 2019 by Jean-Luc Starck Optimal Transport and Deep Learning to model the Euclid Point Spread Function Position: Internship/PhD Deadline: 28/02/2019 Contact: J.-L. Starck and M. Kilbinger Details about this position are provided in the following PDF.