Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- CEA
- IMT Atlantique
- Institut Pasteur
- ONERA
- CNRS - Observatoire de Paris-Meudon
- Centre de Mise en Forme des Matériaux (CEMEF)
- ESRF - European Synchrotron Radiation Facility
- IMT - Institut Mines-Télécom
- INRAE
- INSA Strasbourg
- Mines Paris-PSL
- Observatoire de Paris
- UNIVERSITE D'ORLEANS
- Université Angers
- Université d'Orléans
- Université de Strasbourg
- Université de Toulouse
- fluiidd
- École polytechnique
- 12 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 3 months ago
personalization algorithms. The project will leverage EvidenceB's extensive deployment infrastructure to work with authentic large-scale educational data and validate innovations in real classroom settings. In
-
/expertise : Algorithmic and programming skills in C++ and Python. Experience in using Git, Overleaf, Jupyter notebooks. Personal qualities : Ability to communicate and to work in a team. Environment and
-
Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
of this project requires the design, development, and training of an artificial intelligence algorithm capable of automatically segmenting the bony structures of both healthy and fractured tibial plateaus
-
optimization. Knowledge in algorithms for sampling/variational inference and kernel methods will also be welcome. Interest or experience in differential geometry, optimal transport, and remote sensing
-
the technical side, we aim at combining statistical latent variable models with deep learning algorithms to justify existing results and allow a better understanding of their performances and their limitations
-
research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature