Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- BRGM
- IMT Mines Albi
- La Rochelle Université
- Nantes Université
- Télécom Paris
- Université de Strasbourg
- CEA
- French National Research Institute for Sustainable Development
- Grenoble INP - Institute of Engineering
- IFP Energies nouvelles (IFPEN)
- IMT NORD EUROPE
- INRAE
- INSA Strasbourg
- LEM3
- LISA UMR7583
- Nature Careers
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Universite de Montpellier
- Université Côte d'Azur
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- Université de Caen Normandie
- Université de Limoges
- Université de Toulouse - LGC
- Université de montpellier
- l'institut du thorax, INSERM, CNRS, Nantes Université
- 19 more »
- « less
-
Field
-
on the propagation of social movements and other diffusion phenomena (epidemics, dissemination of opinions or false information). Develop modeling that may use epidemic propagation or reaction-diffusion models, or any
-
=false , https://link.springer.com/article/10.1186/s13059-025-03692-6 , https://link.springer.com/article/10.1186/s13059-023-03064-y ), Linear Mixed Models and GWAS. ● Familiarize with the sequencing
-
criteria - Master simulation tools such as SPICE, VHDL(-AMS), Cadence, as well as calculation and modeling tools such as Matlab/Octave or Python. Skills in finite-element type numerical simulation will be a
-
combining space-based remote sensing and modeling, it aims to better understand the evolution of forest fuels and their role in fire propagation. Tested on pilot forest areas (Centre-Val de Loire and Pyrénées
-
modelling of membrane contactors, with the aim of maximising their performance in terms of separation and energy consumption. The project will be carried out at the LRGP (Reactions and Process Engineering
-
this, the postdoc will use innovative modeling based on the coupling of (1) a meteorological model adapted to the fine spatial scales of these systems and explicitly simulating turbulent structures, and (2) a
-
trace them back to incident particle fluxes using GEANT-4 simulations of the instrument. These analyses will improve the calibration of the instrument and better constrain the presence of particles
-
.) together with advanced artificial intelligence methods. The main objectives are to: ➔ design and experiment with multimodal AI models to improve the diagnosis and prediction of battery aging; ➔ explore and
-
, developing molecular models of electrolytes based on polymers, LiFSI salt, and ionic liquids, in contact with active material surfaces. Simulations will be carried out in confined geometries representative
-
an approach based on 3D imaging and numerical simulation. The objective is to support the development of the most "infiltrable" ex-PIP matrices by characterizing the spatial organization of these porous media