Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Aix-Marseille Université
- CEA
- The American University of Paris
- Université de Technologie de Belfort-Montbéliard
- Arts et Métiers Institute of Technology (ENSAM)
- BRGM
- Consortium Virome@tlas
- Ecole Centrale de Lyon
- Ecole polytechnique
- FEMTO-ST institute
- French National Research Institute for Sustainable Development
- ICMMO
- INSERM U1183
- IRISA
- Institut Curie - Research Center
- Institut of Mathematics of Marseille
- Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique,
- Observatoire de la Côte d'Azur
- University of Paris-Saclay
- Université Côte d'Azur
- Université Grenoble Alpes
- Université Paris-Saclay (UPS)
- Université Paris-Saclay GS Mathématiques
- Université de Caen Normandie
- École Normale Supéireure
- École nationale des ponts et chaussées
- 20 more »
- « less
-
Field
-
biological signals. The project will focus mainly on developing innovative models for biomedical signals with irregular cyclicity and exploring potential machine learning applications. Position Objective
-
on food craving and health-related decision-making. To this purpose, we will use a combination of brain imaging, behavioral measures, and machine-learning techniques. Activities The successful candidate
-
experimental data (from ex-situ and in-situ measurement). Therefore, she/he will develop a way to optimize/guide the experiments trough artificial intelligence approach (machine/deep learning) that he will
-
innovations, OCTO Technology and the PIMM laboratory at ENSAM are jointly sponsoring this PhD thesis. The research will focus on the application of Physics-Informed Machine Learning (PIML) and Physics-Informed
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 8 days ago
Framework Programme? Not funded by a EU programme Reference Number 2025-09322 Is the Job related to staff position within a Research Infrastructure? No Offer Description Context. This PhD thesis is part of
-
analysis, multi-omics analysis, differential analysis, machine learning methods. Definition of tasks to be performed: Fixed-term contract essential to carry out the bioinformatics part of the project
-
laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
-
of the mines must also be considered. Recent advances in the geotechnical and geomechanical fields have led to a significant increase in the usage of machine learning (ML), thanks to its computational power and
-
foundations of feature learning in neural networks. Engage in the life of the CSD, including participating at the weekly seminars. Present results internally and at international venues; Qualifications PhD in
-
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