Sort by
Refine Your Search
-
to understand deformation-controlled hydrogen systems by integrating seismic observations and THMC physical modeling at three complementary sites: Comminges (primary target), Oman, and New Caledonia. The central
-
disturbances. Current control methods generally rely on simplified interaction models based on constant aerodynamic coefficients, quasi-static approximations, potential flow models, or experimentally identified
-
recognized as one of the leading international experts in theoretical and numerical ocean modelling. Florian Lemarié is an expert in the application of mathematics to ocean modelling. The PhD project will also
-
, France to complete the project. Objectives The objective of this PhD project is to develop advanced numerical modelling tools to support the digital twins of refractory materials, with the aim
-
tomography, high-pressure reactor) with numerical modelling (COMSOL) to quantify and predict dissolution. • Select and characterise biogenic shells (foraminifera, pteropods) from oceanographic cruises
-
performed by the PhD candidate will be supported by numerical modelling performed within the hosting team and by a partner team of ANR MultiMAGe. Expected skills. _Required_: 1 - Excellent understanding
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
. Preferred qualifications include experience with: Optimal Control and/or Model Predictive Control (MPC). Modeling of deformable parts. Real-time numerical optimization. LanguagesFRENCHLevelBasic
-
Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
(or surrogate models) are approximations of classical numerical solvers with a very low computational cost. They form the core of a digital twin. Using machine learning techniques to build these meta-models
-
have access to state-of-the-art facilities, including cleanroom microfabrication, laser micromachining, 3D printing, advanced microscopy, and numerical modeling tools. The project benefits from a close
-
transport phenomena. Scientific Background Numerical simulation of turbulent flows always involves a trade-off between accuracy and computational cost. Depending on the objectives, different modeling