Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Ecole Normale Supérieure de Lyon
- Institut Pasteur
- Universite de Montpellier
- CEA-Saclay
- IFP Energies nouvelles (IFPEN)
- IMT - Institut Mines-Télécom
- IMT Atlantique
- IMT MINES ALES
- IMT Mines Ales
- INSA Strasbourg
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Télécom Paris
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Strasbourg
- Université Savoie Mont Blanc
- École nationale des ponts et chaussées
- 8 more »
- « less
-
Field
-
Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. For more information about AMBER, visit: https
-
. This recruitment is funded as part of the implementation of a Prematuration Programme by the Alliance Sorbonne Université University Innovation Cluster (PUI-ASU). Where to apply Website https://utc.recruitee.com/o
-
researchers with ample experience in MEG/EEG data analysis, BCIs, signal processing, deep learning for brain imaging analysis, biomedical statistics, dynamical systems and research on motor control. The lab has
-
are looking for a motivated postdoc with solid experience in bioinformatics and in machine learning. The position centers on SRPs and LLPS, and the successful candidate will contribute to several ongoing
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 3 months ago
. [9]). We are particularly interested in improving the selection of transmission opportunities (e.g., using precomputed sequences), possibly constructed with machine learning techniques (as in [8]). We
-
Requirements Research FieldComputer science » Computer systemsEducation LevelPhD or equivalent Skills/Qualifications Knowledge • Solid understanding of machine learning, deep learning, and modern AI techniques
-
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
-
Machine/Deep learning and classification Knowledge of the Linux operating system for using a computing cluster Interest in transdisciplinarity and teamwork Autonomy and scientific rigor Website
-
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
-
difficult to couple with basin simulators. Geochemical metamodels, particularly those based on machine learning, can significantly reduce computation times while maintaining physico-chemical consistency