Quantifying uncertainties for machine learning and matrix factorization
This internship aims at developing new approaches for uncertainty quantification in machine learning and…
Category: Past Offers
Posts regarding expired job offers.
Joint spectral unmixing in gamma-spectroscopy
The objective of this internship is to develop a new method to jointly analyze…
Non linear matter power spectrum and machine learning
Position: Internship Deadline: 1/02/2020 Contact: Santiago Casas, V. Pettorino, Jean-Luc Starck Details about this…
Cross-correlations between cosmological probes from Euclid, BOSS/e-BOSS, Planck and beyond
Position: PhD (starting Fall 2020) / internship Deadline: 1/02/2020 Contact: V. Pettorino, M. Kilbinger…
Weak gravitational lensing: mapping dark-matter on cosmological scales
Position: Internship/PhD Deadline: 15/01/2020 Contact: M. Kilbinger Details about this position are provided in the…
Deep Learning on the Sphere and Reconstruction of Dark Matter Mass Maps
Position: Internship/PhD Deadline: 28/02/2020 Contact: J.-L. Starck and F. Lanusse Details about this position…
Deep convolutional networks for inverse problems in image and video restoration
Position: PhD Deadline: 15/04/2019 Contact: Jean-Luc Starck, Joana Frontera-Pons and Arnaud Woiselle Details about…
Quantifying uncertainties for machine learning and matrix factorization
Position: Internship Deadline: 28/02/2019 Contact: Jerome Bobin Details about this position are provided in…
Large-scale sparse blind decomposition
The goal of this internship is to work on large scale sparse blind source…
Caractérisation de systèmes binaires galactiques par ondes gravitationnelles
Details about this position are provided in the following PDF.