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, to proliferate on its surface and thus colonize the free space. We propose to design such a smart scaffold, first in silico. The Post-Doc will combine a topological optimization code with a mechanobiological model
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natural processes and technological applications, from atmospheric phenomena like rain clouds to industrial processes such as spray cooling of electronics. Due to their ubiquitous presence, droplets have
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) have shown promise in incorporating physical constraints into the learning process. Recent developments in geometric deep learning, graph NN and neural operators have further expanded the potential
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this paradigm to general history-dependent / rate-dependent behaviours still remains challenging and will be addressed in this project. The paradigm of model-free data-driven computational mechanics (DDCM
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how varying gravitational conditions affect manufacturing processes. Desirable skills: Knowledge of experimental design for microgravity conditions (e.g., parabolic flights, drop towers) is a plus but
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iteratively, to achieve a maximum precision for the computational budget available [1]. However, adaptive processes for the selection of multi-fidelity input data points are much more sensitive to the exact
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: - reading and understanding theoretical physics articles, in particular with a view to deriving equivalent computer algorithms - develop and/or adapt a physical modem and/or a Monte Carlo type code in
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the top 300 globally for Engineering, and in the top 500 for Physical and Computer Sciences in the Times Higher Education World University Rankings by Subject 2024, highlighting its multidisciplinary
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this area. Additionally, Centrale Nantes is positioned in the top 300 globally for Engineering, and in the top 500 for Physical and Computer Sciences in the Times Higher Education World University Rankings
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challenges and the role of innovation processes and their integration into society. This work is carried out within the framework of projects, with both institutional and academic partners. The cluster now