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methodologies, simulation tools, and work contexts while remaining effective in the face of unforeseen events and scientific challenges. Additional comments NTR Website for additional job details https
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generation, targeted atomistic simulations, structural descriptor extraction, and predictive models. The work will aim to establish links between local pore geometry, structural disorder, sodium adsorption
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on deep learning coupled with molecular simulations for the investigation of slow variables and transition pathways describing large conformational changes and reactive processes in complex biological
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, validate them through simulations, and contribute to their experimental implementation. The first objective will be to formulate and study local learning rules compatible with the nucleation, propagation and
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for environmental qualification campaigns. • Electromagnetic modelling and simulation of resonant microwave structures to support experimental investigations. • Preparation of technical documentation, including
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on neural networks whose parameters are trained on simulations (SBI — Simulation-Based Inference). The recruited person will work within the ZTF, LSST/DESC and Lazuli collaborations to implement cosmological
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dynamics simulations to understand the growth mechanisms of thin films deposited by magnetron sputtering, with or without ion beam assistance (IBAS), particularly for metallic materials (Ag) and oxides (ZnO
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the simulation of turbulent flows using a tensor network representation of the Navier–Stokes equations. Unlike recent approaches based on tensor networks, which simulate fluid flows in physical space using finite
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of Euclid-DR1 data and, on the other hand, on an analysis of numerical simulations developed within the group. On the observational side, the focus will be on studying, in particular, the correlations between
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collaborative research project on the topic of neuromorphic photonics using organic materials. Research activities include: - Design and modeling of integrated photonic components using electromagnetic simulation