Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- IRIT, Université de Toulouse
- Aix-Marseille Université
- CEA
- The American University of Paris
- Université Grenoble Alpes
- Université de Technologie de Belfort-Montbéliard
- Université de Toulouse
- École nationale des ponts et chaussées
- Aix-Marseille University
- American University of Paris;
- Arts et Métiers Institute of Technology (ENSAM)
- BRGM
- CEA-Saclay
- Consortium Virome@tlas
- Ecole Centrale de Lyon
- Ecole Normale Supérieure
- Ecole polytechnique
- FEMTO-ST institute
- FRANCE ENERGIES MARINES
- French National Research Institute for Sustainable Development
- ICMMO
- IMT MINES ALES
- INSERM U1183
- IRISA
- Institut Curie - Research Center
- Institut of Mathematics of Marseille
- LE STUDIUM LOIRE VALLEY INSTITUTE FOR ADVANCED STUDIES
- Laboratoire National de Métrologie et d'Essais - LNE
- Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique,
- NIMES UNIVERSITE
- Nantes Université
- Observatoire de la Côte d'Azur
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- UNIVERSITE PARIS CITE
- University of Lille
- University of Paris-Saclay
- Université Côte d'Azur
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université Marie et Louis Pasteur
- Université Paris-Saclay (UPS)
- Université Paris-Saclay GS Mathématiques
- Université Savoie Mont Blanc
- Université d'Artois
- Université de Caen Normandie
- Université de Lorraine
- Université de Montpellier
- École Normale Supéireure
- École Normale Supérieure
- 42 more »
- « less
-
Field
-
). An overview of recent multi-view clustering. Neurocomputing, 402, 148-161. 7. Ji, Y., Lotfollahi, M., Wolf, F. A., & Theis, F. J. (2021). Machine learning for perturbational single-cell omics. Cell Systems, 12
-
Microelectronics teams, the PhD student will be supervised and helped. He/She will access, after training, the IEMN technological platforms. He/She will be provided the tools and computer accesses necessary
-
range of computer vision tasks. Their strong representational capacity, however, comes at the price of significantly higher computational complexity and memory requirements. This poses a major challenge
-
Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | about 1 month ago
mathematical modeling (preferably physiological systems) and/or control theory. -Experience in signal processing and artificial intelligence methods (time-series analysis, machine learning, multimodal
-
published openly in the form of process flowsheet databases. Skills: Machine Learning/Deep Learning skills are essential, as well as programming proficiency, as well as some knowledge of energy or process
-
analysis and visualization, signal processing, and ideally machine learning. • Working knowledge of Distributed Acoustic Sensing (DAS) and its applications in seismology (appreciated). • Aptitude
-
parameters to identify regimes that ensure both flame stability and low pollutant emissions. Machine learning techniques have recently shown promise for Design of Experiments (DoE) and interpretation of large
-
. Advances in AI, especially NLP and machine learning, open new opportunities to automatically extract and structure security knowledge, and to provide intelligent, interactive support to practitioners
-
particular NLP, statistical learning, machine learning, generative AI, and their major fields of application. Roles and responsibilities The applicant will join the team of the 3IA Côte d’Azur Institute and
-
-criteria, defining their formalization as fuzzy subsets, and characterizing their uncertainty; Integrating Machine Learning algorithms to better account for low-level sensor data (precipitation, wind-driven