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participate in a project aimed at understanding the molecular and cellular mechanisms that control the generation of muscle diversity during development. The project will combine approaches in developmental
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(ANR-25-CE51-3871), which started in January 2026. This project aims to develop and optimize a micrometer-scale surface texturing process based on thermochemical treatments performed using arrays of cold
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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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by S. McPhillips (CNRS, ArchéOrient - UMR 5133, Environment and Societies of the Ancient Near East) and is funded by the French Agency for the Development of AlUla (Afalula, France), in partnership
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. Development and integration of state-of-the-art machine learning techniques in the analysis and event reconstruction will be a major component of this work. - Characterization of silicon detection modules using
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: How can we develop frugal, robust, and interpretable methods for anomaly detection and fault diagnosis in reconfigurable multi-source microgrids, while maintaining high performance in data-constrained
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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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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will be responsible for developing and exploiting molecular
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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