The goal of this internship is to work on large scale sparse blind source separation and more specifically to contribute to the development of block-coordinate and mini-batch methods, while merging these approaches into a general framework. Details about this position are provided in the following PDF. Position: Internship Deadline: 28/02/2019 Contact: Christophe Kervazo.
Position: Internship Deadline: 28/02/2019 Contact: V. Pettorino and S.Casas Dark energy may be triggered by neutrinos with varying mass (https://arxiv.org/abs/1608.02358). The internship is meant to use a MonteCarlo COSMOMC Boltzmann code to test a simplified framework for this scenario using a prescription we have developed already. The student will be able to use data to …
- Component separation from multi-frequency radio-interferometric data, with application to the Epoch of Reionization (EoR) signal