Sort by
Refine Your Search
-
strains in the elastic medium. We will adapt them to the modelling of gravity changes, following the approach indicated by Bonafede and Mazzanti (1998), and followed by Trasatti and Bonafede (2008) and
-
an atomistic model of the electrode/electrolyte interface in the batteries developed by ITEN, at the anode and at the cathode. Both electrodes are based on lithium-based transition metal oxides. These models
-
collaboration with Michelin, is to develop surrogate models capable of rapidly approximating the simulator's results while accounting for uncertainty. Particular attention will be paid to the model's lightness
-
by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will use the poroelasticity models developed in the M3DISIM team
-
to unravel the atmospheric importance of this interfacial chemistry by means of (i) laboratory-based investigations, (ii) field observations and (iii) modelling. These activities will take place in the frame
-
ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
-
The postdoctoral fellow will participate in the PostGenAI@Paris AI Cluster (ANR) project at Sorbonne University, and more specifically in the "AI-Augmented Multiscale Modeling for Energy Storage" sub-project, whose
-
porous media (imbibition, wetting, flow, etc.). The approach will be essentially experimental, combining model debinding tests on various specimens with characterizations. • Determine the main mechanisms
-
for biomarkers in 7T images. - Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification
-
Infrastructure? No Offer Description The postdoctoral researcher will contribute to the ANR-funded Pi-CANTHERM project, which aims to design, model, and predict the performance of new n‑type organic thermoelectric