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process structures. However, this method is limited by the inductive bias of the predefined superstructure. Innovation: Increased computing power and advances in data science have popularized new algorithms
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candidate will be responsible for the full range of activities related to the development, testing, and evaluation of the learning models. They will also receive support from LOA experts for the execution
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of Communities team and interact with its members. The modeling work will also involve collaborations with researchers from CEFE (Montpellier), BIOGECO (Bordeaux), and forest management partners (ONF). Our little
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of the landscape over time. The LANDIS-II forest landscape disturbance and succession model will be used to perform simulations based on palaeoecological data. The student will collaborate with project researchers
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pressure and temperature levels; - Validate the numerical model of the complete system by comparison with experimental data; - Identify improvement strategies for performance and system robustness. Work
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complementary expertise, using both space and ground-based observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and
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, transportation, and energy. Our work generally focuses on behavior modeling, instrumentation, and the study of the durability of the structures or products in question. A significant part of our research focuses
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complementary approaches. It will begin with the creation of a clean, structured, and rich data platform, obtained through rigorous preparation and labeling. This database will reflect the variability
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), and advanced high-pressure techniques. Experience with vacuum systems, lasers, spectroscopy, or numerical modeling (e.g., plasma or molecular simulations) will be considered an asset. The candidate will
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disease models. The project offers training at the crossroads of protein engineering, structural biology, and cancer biology, and will provide the candidate with a strong interdisciplinary skill set that is