Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Nature Careers
- Télécom Paris
- Universite de Montpellier
- CEA-Saclay
- Ecole Normale Supérieure de Lyon
- IMT MINES ALES
- IMT Mines Ales
- Institut des Hautes Etudes Scientifiques
- Institut des Hautes Études Scientifiques
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- 3 more »
- « less
-
Field
-
? No Offer Description - work environment: This postdoctoral position will be supervised by Aline Muyle and hosted at the Institute of Evolutionary Sciences of Montpellier (ISEM), within the CHANGE
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are recruiting a postdoctoral researcher to study the evolutionary origins of complex
-
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 | 3 days ago
to bandit algorithms when the performance criterion is not the expected outcome but some risk averse measure such as CVaR or entropic risk. The objective is to propose and analyze new risk-aware bandit
-
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
-
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
-
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
-
structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under budget and time constraints, facilitating flexible adoption
-
molecular experiments, preferably including CRISPR/Cas9 gene editing or RNAi in insects. Strong English communication skills (written and spoken). Background in evolutionary biology, entomology, genomics