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Belfort-Sévenans. The primary objective of this doctoral thesis is to reconsider current models related to economic structures and the connectivity of human communities during the early Middle Ages (6th
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technologies generate large volumes of heterogeneous data and often require advanced technical expertise to operate, configure, and interpret. This PhD project will explore how Large Language Models, Natural
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with a background in fluid mechanics or thermal engineering. Given the scope of the research project, a strong interest in both experimental work and numerical modeling is essential. Familiarity with
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representation language. The thesis will particularly investigate approaches based on attributed graphs to model infrastructures, their topological relationships, inspection-derived observations, and the levels
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simulated through realistic physical simulation of soft structures using SOFA [2] and reproduced with models in VR to simplify integration if necessary, or produced with animation software (e.g., Blender
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and generatingnarratives describing the changes in natural language. The PhD student’s main responsibilities will include: - studying the data structures of OSM and the Topo database (models
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structure in the urban trench construction, the volume of leaked water, and the pipe dimensions, etc. Meanwhile, the AI modeling of wave propagation in the ground will be applied in the interpretation
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spectrometer will allow measuring new data in various fields of physics, including medical applications, Beyond Standard Model physics as well as nuclear energy applications. You will participate in GEANT4-based
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the laboratory of Prof. Valérie Paradis, internationally recognized for liver pathology and human precision-cut liver slice models. The student will benefit from a highly interdisciplinary environment combining
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activate spinal networks. This PhD project aims to investigate the underlying mechanisms of rSynES-induced recovery using a mouse model of cervical SCI, through longitudinal assessment of molecular and