Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Ecole Centrale de Lyon
- Institut Pasteur
- Nature Careers
- 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
- Inserm
- Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085)
- UNIVERSITE BORDEAUX MONTAIGNE
- Universite de Montpellier
- University of Paris-Saclay
- Université Grenoble Alpes
- Université Paris-Saclay GS Mathématiques
- Université Savoie Mont Blanc
- Université de Bordeaux - Laboratoire IMS
- École nationale des ponts et chaussées
- 13 more »
- « less
-
Field
-
systems. A priority is given to the solubility of H2S in silicate melts and the modelling of multicomponent fluids in highly pressurized, H2-rich systems. • conduct, analyze and interpret experimental
-
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
-
relevant therapeutic strategy in bronchopulmonary cancers. To assess the therapeutic potential and renal safety of this approach, we propose to evaluate the pharmacological effects of ASOs in a mouse model
-
implementing models that integrate ecological dynamics, species traits, phylogenetic trees, and economic discounting; ● Devising Bayesian or POMDP frameworks to handle uncertainty about species interactions
-
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
-
of the M3i unit UPR9022 at IBMC, “Models of innate immunity in insects” at the Institute of Molecular and Cellular Biology (IBMC). Our team studies the molecular basis underlying interactions between
-
) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new
-
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
-
is to provide the most **informative** samples (not just the most probable) to facilitate identification and enhance user experience. - **Theoretical Model Improvement:** Understanding a sample's
-
: structures and functions for biomimetic innovations", Nanomicro Lett., 9, 2017, 1-40 [2] Bami Chatenet Y. and Valette S., "Mechanical criteria and analytical modeling of mixed-state wetting on multiscale