237 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" uni jobs at CNRS in France
Sort by
Refine Your Search
-
Listed
-
Field
-
Ecole Polytechnique, in Palaiseau, France, and will consist of theoretical and numerical modellng. The thesis will consist of modeling turbulence using Machine Learning methods, in particular Physics
-
imaging and machine learning. The main task of the successful candidate will be to help redefine certain traditional criteria of comparative anatomy used in archaeozoology and to establish new criteria
-
team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
-
University, but there will be a close collaboration with the group of Léa-Laetitia Pontani (LJP). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7332-CATLEV-053/Candidater.aspx Requirements
-
. "Matroid prophet inequalities." Proceedings of the forty-fourth annual ACM symposium on Theory of computing. 2012 Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9194-VIAPER-003
-
polymer solution probed by resonant thermal capillary fluctuation",Phys. Fluids 35, 121706 (2023). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5798-ABDMAA-002/Candidater.aspx
-
inflammation observed in Chronic granulomatous diseases (CGD) patients during infection. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5089-ETIMEU-007/Candidater.aspx Requirements Research
-
been revolutionized in recent years by machine learned interatomic potentials (MLIP), and questions that were impossible to tackle five years ago can now be addressed. The state-of-the-art approach
-
" team led by Jean-Luc Gennisson, a team of 25 permanent people positions and 20 students. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9011-JEAGEN-005/Candidater.aspx Requirements
-
Candidates must have expertise in at least two of the following areas: • Machine learning and its associated mathematical foundations • Embedded systems • Analog / mixed-signal design Website for additional