Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- CNRS - Institut Lumière Matière
- Grenoble INP - Institute of Engineering
- Institut Pasteur
- Université Paris-Saclay (UPS)
- Anthogyr
- Arts et Métiers Institute of Technology (ENSAM)
- Centre de Mise en Forme des Matériaux (CEMEF)
- Ecole polytechnique
- FEMTO-ST
- IMT Nord Europe
- INSERM
- Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat
- Nantes Université
- Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085)
- Universite de Montpellier
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Paris-Saclay
- University of Reims Champagne-Ardenne (URCA)
- Université Bourgogne Europe
- Université Grenoble Alpes
- Université Paris-Saclay GS Mathématiques
- Université de Bordeaux - Laboratoire IMS
- Université de Bordeaux / University of Bordeaux
- Vision Institute
- 18 more »
- « less
-
Field
-
, around a hundred PhD students and almost as many other staff such as master's students, post-docs and visiting professors, G2Elab is a major player in these fields at national and international level, at
-
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
-
into **influence functions**, theoretical tools designed to quantify the impact of a sample on a machine learning model. These functions, defined through the derivative of model parameters or the loss function with
-
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
-
sometimes struggle to effectively sustain patients' learning throughout their rehabilitation journey and may not adapt to the evolution of their abilities. Rehabilitation is a complex process that requires
-
an internationally recognized research team at LAAS-CNRS in Toulouse, focused on developing autonomous mobile machines that integrate perception, reasoning, learning, action, and reaction capabilities
-
, engineering, bioinformatics, machine learning, artificial intelligence) to support minimally invasive and targeted preventive and predictive medicine capable of limiting age-related functional disorders
-
by exploiting foundational machine-learning potentials such as MACE, SevenNet, or Orb-V3. The predictions will then be progressively refined and verified by DFT and, ultimately, tested experimentally
-
technologies, and integrate machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their applications in
-
-flexible technologies, and integrate machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their