Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- 3IA Côte d'Azur
- CEA
- Grenoble INP - Institute of Engineering
- University of Luxembourg
- Université de Bordeaux / University of Bordeaux
- Université de Limoges
- DI ENS
- INSA LYON
- INSA Strasbourg
- ISAE-SUPAERO
- Inria
- Luxembourg Institute of Health (LIH)
- Luxembourg Institute of Science and Technology (LIST)
- Mines Paris-PSL
- Universite de Montpellier
- Université Bourgogne Franche-Comté
- Université de Lille
- 9 more »
- « less
-
Field
-
biomedical applications, with a strong emphasis on neurodegenerative diseases. Your role Act as the core developer for software projects within the group, translating cutting-edge deep learning algorithms
-
Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
(www.code-saturne.org ), EDF developed recognized expertise in neural-network-based learning for handling simple fluid flows with high accuracy [Meyer et al., 2021]. In 2022, an algorithm hybridizing POD
-
equipment, related software and algorithms towards reliable operability and plannable availability. Process and analyse motion capture and activity monitoring data by using and customizing existing code
-
Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 2 months ago
-software design spaces, as well as overseeing profiling, simulation, and evaluation methodologies to characterize the impact of architectural and algorithmic breakthroughs. Scientific leadership and
-
: abstractions for LLM-powered operators and task-specific execution harnesses; algorithms for quality-, cost-, and latency-aware workflow optimization; methods for validating and adapting LLM-generated workflows
-
14 Jul 2026 Job Information Organisation/Company CNRS Department Centre de Recherche en Informatique de Lens Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
-
-Health division, where real-time videomicroscopy approaches enable tracking of living cells after irradiation and reconstruction of their lineages using the CellLineageTrack (CLT) algorithm. This method
-
, temperature, and operating-condition variations. - A second objective will be to design new algorithms and protocols for distributed security based on this inter-chiplet PUF. The central idea is that the secret
-
reactiOns) algorithm, developed within the DeSIS research team, which combines experimental measurements and simulated data to improve predictions of secondary particle production cross sections. High-quality
-
, contributing to research in the field of artificial learning. The data generated by this doctoral work will be deposited on open archaeological databases (Nakala, Huma-Num, POP, etc.), and the algorithmic code