Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Télécom Paris
- CEA-Saclay
- Ecole Normale Supérieure de Lyon
- IMT MINES ALES
- IMT Mines Ales
- Institut des Hautes Etudes Scientifiques
- Nature Careers
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- 1 more »
- « less
-
Field
-
postdoctoral research project. The project focuses on the development and application of a remote sensing algorithm for monitoring the physicochemical properties of aerosols based on optical measurements taken
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
algorithms, and to publish these results in research papers. bibliographic work algorithm design and their theoretical analysis numerical simulations writing scientific papers Where to apply Website https
-
28 Feb 2026 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique Fondamentale Research Field Computer science Mathematics » Algorithms Researcher Profile First
-
25 Jan 2026 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique Fondamentale Research Field Computer science Mathematics » Algorithms Researcher Profile First
-
validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
-
7 Feb 2026 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique de Toulouse Research Field Computer science Mathematics » Algorithms Researcher Profile First
-
Website https://emploi.cnrs.fr/Candidat/Offre/UMR8190-JEARAU-003/Candidater.aspx Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent Research FieldEnvironmental scienceEducation
-
or related areas. No prior knowledge of cryptography is required. Expertise in optimization or efficient algorithm design will be considered an asset. Applications should include a CV, a list of publications
-
further year. The P2S2 project aims at developing parton-shower algorithms with unprecedented (logarithmic) accuracy for jet substructure at the LHC. The project also has connections with analytic
-
sustainability issues. In particular, the “Probability/Optimization” group focuses on the theoretical understanding of algorithms used in machine learning, for training large neural networks and tuning