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feedback and curvature flow, investigating stability and uniqueness of minimisers, and implementing numerical schemes to simulate the resulting non-linear PDE dynamics. In this way, the project aims
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
opens the way for uncovering them using data-driven techniques and bridge the gap between constitutive modelling, numerical simulations, and experiments. As a Postdoctoral Researcher, you will explore and
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the experimental behavior and the numerical modeling of these tests. A series of pushover tests will be carried out, during which the type of earth used, the slenderness, vertical load, and repeatability will be
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. The postdoc will engage in linking these two aspects by numerical optical modelling, which is the cornerstone of the project, in order to promote this interdisciplinary research approach over the long term
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research and high-level teaching have enabled it to establish double degree agreements with prestigious universities and advanced partnerships with numerous companies. With its focus on sobriety, energy, the
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of coupling observations and measurements (field and remote sensing), laboratory experiments and numerical modelling (see page https://lmv.uca.fr/volcanology/ ). Where to apply Website https://emploi.cnrs.fr
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. The Laboratoire des 2 Infinis - Toulouse (L2IT) is a laboratory created in 2020 to conduct research in fundamental physics with new numerical and theoretical approaches to data analysis. The laboratory's research
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of various existing datasets (picking files of local earthquakes and shots), recording of P-waves converted to S-waves on OBS, construction of an a priori model based on available tomographic grids and
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and physics, Materials Mechanics, Geotechnics, and Civil Engineering Proven skills in laboratory and/or field experimentation Potential aptitude in numerical modeling Ability to work in a team and in
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models