Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Universite de Montpellier
- Ecole Normale Supérieure de Lyon
- IFP Energies nouvelles (IFPEN)
- IMT - Institut Mines-Télécom
- IMT Atlantique
- IMT MINES ALES
- INSA Strasbourg
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Télécom Paris
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Strasbourg
- École nationale des ponts et chaussées
- 6 more »
- « less
-
Field
-
3 Feb 2026 Job Information Organisation/Company INSTITUT MAX VON LAUE - PAUL LANGEVIN Research Field Physics Researcher Profile Established Researcher (R3) Positions Postdoc Positions Application
-
Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Positions Postdoc Positions Country France Application Deadline 18 Jan 2026 - 17:00 (Europe/Paris) Type of Contract
-
Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months ago
hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc.. Use of MatLab for pre-processing, and
-
, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology. Achieving
-
3 Dec 2025 Job Information Organisation/Company INSA Strasbourg Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country
-
difficult to couple with basin simulators. Geochemical metamodels, particularly those based on machine learning, can significantly reduce computation times while maintaining physico-chemical consistency
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
the machine learning community as challenging, high-dimensional testbeds. Notably, the recently developed WOFOSTGym simulator \cite{solow2025wofostgym}, bridging crop modeling and RL, received the Outstanding
-
on the plants Arabidopsis thaliana will generate maps of depolarization, retardance, dichroism, and optical axis azimuth, which will feed machine learning models developed by the project partners to identify