Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nature Careers
- CNRS
- Institut Pasteur
- Inria, the French national research institute for the digital sciences
- CEA
- The American University of Paris
- Université de Technologie de Belfort-Montbéliard
- Aix-Marseille Université
- American University of Paris;
- Arts et Métiers Institute of Technology (ENSAM)
- BRGM
- CEA-Saclay
- Ecole Centrale de Lyon
- FEMTO-ST institute
- French National Research Institute for Sustainable Development
- ICMMO
- IMT MINES ALES
- IRISA
- Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique,
- Observatoire de la Côte d'Azur
- UNIVERSITE PARIS CITE
- University of Paris-Saclay
- Université Côte d'Azur
- Université Grenoble Alpes
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université Paris-Saclay (UPS)
- Université Paris-Saclay GS Mathématiques
- Université Savoie Mont Blanc
- Université d'Artois
- Université de Caen Normandie
- Université de Montpellier
- École Normale Supéireure
- École Normale Supérieure
- École nationale des ponts et chaussées
- 24 more »
- « less
-
Field
-
machine learning. We particularly value depth of knowledge, originality, and the potential for cross-disciplinary innovation. Relevant application areas may include (but are not limited to) natural
-
simulation tools and machine learning techniques. Initially, the work will be based on the design of a database of medical images, which will be processed using convolutional neural networks to identify design
-
financement Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/133293 Requirements Specific Requirements Etudiant(e) titulaire d'un Master II en Statistique / Machine Learning
-
innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
-
instruments and high throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those
-
techniques for data storage/retrieval/processing/visualization on large scale. Cybersecurity Software engineering Machine/deep learning Technical aspects of human computer interaction (HRI, multi-modal
-
). 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
-
Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 5 days 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
-
in Artificial Intelligence (Machine Learning and Statistics) at CentraleSupélec, · Joël Eymery, Head of the Nanostructures and Synchrotron Radiation Team at CEA Grenoble, · Jean-Sébastien