Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Nature Careers
- Ecole Centrale de Lyon
- Nantes Université
- Centrale Supelec
- CentraleSupélec Rennes campus
- Fondation nationale des Sciences Politiques
- IFP Energies nouvelles (IFPEN)
- Inserm UMR-S 1250
- Institut National des Sciences Appliquées de Lyon
- Institut Pasteur
- Institut polytechnique UniLaSalle
- LEM3
- Science me Up
- Université Gustave Eiffel
- Université Sorbonne Nouvelle
- Université côte d'azur
- cnrs
- 9 more »
- « less
-
Field
-
expertise in HCI and education, including adaptive gamification, engagement, learning analysis, and the design of motivational affordances in education. As part of the project, the PhD student will work with
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 10 days ago
macromolecular dynamics, as well as collaborations with the European MDDB initiative. The candidate will develop new graph transformer architectures to learn conformational heterogeneity from molecular dynamics
-
plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
-
of France in Paris (C2RMF), in collaboration with the SATIE (Systèmes et Applications des Technologies de l'Information et de l'Energie) and the Centro per la Conservazione ed il Restauro dei Beni Culturali
-
plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
-
year of doctoral studies, the candidate will have the opportunity to acquire and develop digital research tools. Research questions may address concept annotation in small corpora, historical linguistics
-
users, thanks to the use of machine learning tools and techno-economic analyses. This project is aligned with the sustainable development goals (SDG) 7 and 10 of the United Nations, by promoting a low
-
be responsible for advancing the core research streams of the ERC LEARN project. Key responsibilities: In close collaboration with the PI and the other members of the research team, the doctoral
-
analytics Exploring and implementing federated learning and privacy-preserving AI approaches for distributed clinical datasets Collaborating closely with data providers, clinicians, and technical teams
-
with experimental and clinical collaborators. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease- and treatment