Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Nature Careers
- Institut Pasteur
- Université Paris-Saclay (UPS)
- Anthogyr
- Arts et Métiers Institute of Technology (ENSAM)
- Ecole Normale Supérieure
- European Synchrotron Radiation Facility
- Grenoble INP - Institute of Engineering
- Gustave Roussy Cancer Campus
- Inserm
- Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085)
- Universite de Montpellier
- University of Paris-Saclay
- Université Grenoble Alpes
- Université Paris-Saclay GS Mathématiques
- Université de Bordeaux - Laboratoire IMS
- École nationale des ponts et chaussées
- 9 more »
- « less
-
Field
-
candidate will be responsible for the full range of activities related to the development, testing, and evaluation of the learning models. They will also receive support from LOA experts for the execution
-
(Probability, Statistics and Modeling Laboratory, CNRS-Université de Lorraine), EDF (Electricité de France), and Fives-Prosim. This doctoral program focuses on generative models for energy cycles. Its main
-
), IBPS, Sorbonne Université. The team possesses expertise in developing application-specific microfluidic models that integrate desired mechanical conditions of fluid flow and substrate viscoelasticity
-
of Communities team and interact with its members. The modeling work will also involve collaborations with researchers from CEFE (Montpellier), BIOGECO (Bordeaux), and forest management partners (ONF). Our little
-
of the landscape over time. The LANDIS-II forest landscape disturbance and succession model will be used to perform simulations based on palaeoecological data. The student will collaborate with project researchers
-
pressure and temperature levels; - Validate the numerical model of the complete system by comparison with experimental data; - Identify improvement strategies for performance and system robustness. Work
-
University, is recognized for its expertise in artificial intelligence and formal methods In this stimulating academic context, we will focus on the problem of explainability of artificial intelligence models
-
silicon waveguides with a nanometric core. This work will include the development and optimization of simulation tools for the design of these waveguides, combining numerical results with simplified models
-
implementing models that integrate ecological dynamics, species traits, phylogenetic trees, and economic discounting; ● Devising Bayesian or POMDP frameworks to handle uncertainty about species interactions
-
of numerical ice shelf models has recently been developed to study, among other things, the realistic behaviour of the dynamics of a floe assembly, based on a granular approach. The purpose