Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Université Paris-Saclay (UPS)
- Anthogyr
- Arts et Métiers Institute of Technology (ENSAM)
- Grenoble INP - Institute of Engineering
- IMT Nord Europe
- 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
- 5 more »
- « less
-
Field
-
sciences, particularly in the domain of numerical weather prediction. On the one hand, state-of-the-art models such as GraphCast have demonstrated outstanding predictive skill. On the other hand, physics
-
Models (JSDM) will be used to predict community changes and species presence by the end of the century. Based on data on local and scientific knowledge, the recruited person will have to define four key
-
of transportation and energy. Its experimental and numerical modeling activities focus on various complex and multiphysical flows, including turbulence, two-phase flows, combustion, and thermoacoustics. Research
-
the SDM modelling for these five gorgonian species to deeper area in the NW Mediterranean sea. - run BIOMOD2 suite on Blouet et al. (2024) dataset - gather environmental descriptors for extending the SDM
-
cellular signaling remains a key challenge in biology and is at the heart of the project. The PhD student will be in charge of the molecular modelling aspects of the multi-scale approaches undertaken by
-
provided by the EUROfusion Horizon Europe consortium, which offers access to a large collaborative network and European EURATOM funding. To model the behavior of hydrogen in materials, we use electronic
-
, IINS is one of the major players in the neuroscience community in Aquitaine. Ultrastructure and 3D model of dopaminergic synapses. Activities: Preparation of biological samples (synaptosomes, striatum
-
(mathematical modeling in ecology, LOMIC, Banyuls-sur-Mer) and Prof. Christoph Grunau (Host-Pathogen-Environment Interactions, IHPE, Perpignan). Both laboratories are equipped with all the necessary computational
-
), IBPS, Sorbonne Université. The team possesses expertise in developing application-specific microfluidic models that integrate desired mechanical conditions of fluid flow and substrate viscoelasticity
-
transfer learning to transpose the recurrent neural network (RNN) model available for supercritical CO2 power cycles to other cycles. Since thermodynamic conditions vary greatly depending on the fluid and