Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
national high-performance computing resources (Jean Zay). The position is based in Caen, a dynamic city located 2 hours from Paris. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6072-FREJUR0
-
Post-Doctoral Research Visit F/M Postdoctoral position in web security, privacy, and online tracking
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 9 days agoof publications in top-tier venues (A or A* conferences strongly recommended). - Technical Proficiency: Great understanding of the Web stack (JS engines, HTTP, browser APIs). Experience with crawling tools
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 13 days ago
science, and energy systems, with applications in smart mobility, electric vehicle integration, and power grid management. It contributes to the design of decision-support tools for infrastructure planning
-
related to staff position within a Research Infrastructure? No Offer Description You will join the GIN: https://neurosciences.univ-grenoble-alpes.fr You will be supervised by Julien BASTIN (Inserm Research
-
, CADENA seeks to replace toxic catalysts with eco-friendly, high-performance alternatives, aligning with France's and Europe's green chemistry and circular economy goals. Where to apply Website https
-
fields : Computer Vision, Machine Learning, Pattern Recognition • Strong programming skills in Python • Good knowledge of Linux tools and environment • Autonomous and rigorous • Curiosity and creative
-
machine trained to detect and segment fringes related to the movements being sought. This second phase will be able to leverage existing databases such as ISSLIDE [Barlet-2024] and enrich them with patterns
-
Additional Information Website for additional job details https://recrutement.univ-angers.fr/poste/l3n5xsoefq-post-doctorante-en-machine-… Work Location(s) Number of offers available1Company/InstituteAngers
-
. We will develop a posteriori estimation tools to obtain error indicators that will guide mesh adaptation. These indicators must be specifically designed to account for the anisotropy of the field. Our
-
responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and