Sort by
Refine Your Search
-
collaboration between the Exa-SofT and the Exa-DI projects and better support multi-linear algebra and tensor contractions in exascale CSE applications and Machine Learning. As part of the collaborative process
-
Explainable AI on genomics data The candidate will: - Start by familiarizing with existing research and methods for genome interpretation - Familiarize with the sequencing data and its pre-processing - Study
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 25 days ago
of publications in quantum information theory. Familiarity with Bell nonlocality, operator algebras, SDP relaxations of polynomial optimization problems, quantum correlation protocols, experimental physics and / or
-
; medicine and biology ; signal and data processing. The recruited person will join the scientific computing team of the laboratory and will also be associated to the INRIA Alpines team, a joint research group
-
) python programming skills, 2) understanding of the mathematical foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on