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; Veselská et al., 2025) and the development of mathematical model capable of accurately representing the hydrological characteristics of the catchment area and runoff simulation software (FullSWOF). Initially
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: https://www.uca.fr/recherche/presentation * Host Laboratory: https://celis.uca.fr * Information and resources on international mobility: Euraxess Auvergne Services Centre * Visa applications: Campus
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with Novel upscaling assisted by artificial intelligence) project financed by PEPR DIADEM (a public funding program on the development of innovative materials using artificial intelligence). The relevant
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also contribute to the development of an experimental model addressing the questions of stakeholders producing this insect. Objectives. The aim of this thesis is to understand the biological determinants
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 13 days ago
collaboration with the Berger-Levrault company. The candidate will be encouraged to propose analysis tools for developers and engineers, which can be included directly in the software development environment
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Stehly. Anne Paul, PI of the MACIV project, will assist with the supervision. These researchers, and more broadly the Waves and Structure team, have been heavily involved in the development of methods
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Sklodowska-Curie Doctoral Network linking 21 academic, cultural, and industrial partners to develop advanced nondestructive evaluation and data-driven digital tools for paintings and 3D artworks (https
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provide detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
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part of the research theme 'Planets and Moons', and will be integrated within the ERC - IceFloods (https://lpg-umr6112.fr/en/erc-icefloods/ ). This thesis will aim to characterize the contribution of ice
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detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking