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the multidisciplinary PREDIT4FACE project, which was selected within the PEPR Digital Health Call for Projects of France 2030. PREDIT4FACE (PREdictive DIgital Twins for FACial Expression) aims to develop a multiscale
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driving conditions, stop-and-go operation, and progressive battery degradation. The objective of the PhD project is to develop estimation, fault detection/isolation, and fault-tolerant control methods
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research focuses on the evolution of the physicochemical and structural properties of materials used in the nuclear industry under extreme conditions, particularly temperature and irradiation. The studies
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Chemistry and Materials for Environment and Health develops analytical methods for the detection of organic molecules mainly in the air but also in other environmental matrices (water, soils). The activities
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collaborative project. Under the joint supervision of Dr Nikolski and Dr Engelhardt, the candidate will become an integral part of both teams. The PhD candidate will develop and apply AI/bioinformatics
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interfacial phenomena. The project is part of the ERC Starting Grant EMBIOMO, which focuses on the dynamics of embolism propagation within leaf vascular networks and on the development of biomimetic models
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scientific activities aimed at promoting the sustainable and secure development of decarbonized energy production and use from the subsurface, while contributing to increased energy independence. It works
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properties. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7288-AMBGUA-025/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research
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association with the ITER project; • Astrochemistry and exobiology, to simulate various environments and to prepare for future space missions and observations; • Surface sciences and innovative materials
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. This interdisciplinary approach relies on the complementary expertise of S. Giordano (IEMN), who will develop a multiscale mathematical model of the multicellular system, and F. Anquez (PhLAM), who will lead the imaging