Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- 3IA Côte d'Azur
- Grenoble INP - Institute of Engineering
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Université de Caen Normandie
- INSERM
- Université Grenoble Alpes
- Université de Bordeaux / University of Bordeaux
- AMPÈRE INSA-LYON
- BRGM
- CNRS-LIRMM
- DI ENS
- ECE - Paris - Ecole d'ingénieurs
- ESSEC Business School
- IMT Atlantique
- IMT Mines Ales
- INSA LYON
- INSA Strasbourg
- INSERM DR Paris 5
- IRCM - Cancer Research Institute of Montpellier
- Inria
- LEAD CNRS UMR5022, Université de Bourgogne
- Luxembourg Institute of Science and Technology (LIST)
- Mines Paris-PSL
- Renault Jean-Hugues
- Télécom Paris
- Universite de Montpellier
- University of Lille
- Université Bourgogne Europe
- Université Savoie Mont Blanc
- Université de Lille
- Université de Picardie - Jules Verne
- 24 more »
- « less
-
Field
-
interactive systems (e.g., machine learning, trustworthy AI, AI-driven decision-making, human-centered AI, data-driven systems, intelligent perception, explainable AI). The recruited faculty member will
-
Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
learning, privacy, security and distributed systems. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10411 Requirements Skills/Qualifications We are looking for a candidate with
-
following competencies: applied mathematics, statistics and probabilities data science, machine learning, artificial intelligence optimisation power system management, integration of renewables energy
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
-10346 Requirements Skills/Qualifications PhD in Computer Science, Machine Learning, Signal Processing, or a closely related field, completed or nearly completed at the start date. Strong background in
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
into resources that can be used for machine learning. The PhD will therefore investigate multimodal approaches that connect visual sign-language information with textual representations under low-resource
-
Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
(or surrogate models) are approximations of classical numerical solvers with a very low computational cost. They form the core of a digital twin. Using machine learning techniques to build these meta-models
-
modern machine learning, with broad implications for both theory and applications. The PhD project focuses on the theoretical foundations and algorithmic design of discrete gener- ative models, situated
-
, GC-MS/MS, and advanced NMR approaches. - **Activity 4:** Multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and reveal the interactions linking
-
multidisciplinary unit, with expertise in mathematical modelling and machine learning, wet-lab expertise in multiplex serological and genetic assays, expertise in diagnostic development and production, and expertise
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
., Revenko, A., Teije, A. T., & Harmelen, F. V. (2023). Combining Machine Learning and Semantic Web: A Systematic Mapping Study. https://doi.org/10.1145/3586163 [2] Benoît Combemale, Pascale Vicat-Blanc