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contribute to the development of predictive human in vitro models for ageing research while providing robust alternatives to animal experimentation. Where to apply Website https://emploi.cnrs.fr/Offres
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predictive digital twin of the face to better understand, model, and rehabilitate facial expressions. The project is led by the BMBI laboratory (UTC-CNRS) and brings together a multidisciplinary consortium
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Description The PhD candidate will contribute to a fundamental research project in cognitive neuroscience aimed at improving our understanding of the neural mechanisms involved in human decision-making during
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Language Processing, stream analytics, IoT infrastructures, and agricultural robotics can be combined to create human-in-the-loop conversational interfaces for smart agriculture. The goal is to allow farmers
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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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and mobility of photo-induced polarons. These results will serve as a reference for the large-scale facility campaigns: tr-PES at the European XFEL (solid-liquid interface) and operando RIXS at the Ti K
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a focus on understanding cell division, genome stability, chromosome dynamics, mitochondrial function, and the molecular mechanisms underlying human health and disease. Cohesin, cellular adaptation
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are reaching their limits in the face of the increasing complexity of distributed energy systems. The simultaneous presence of multiple energy sources, frequent topology changes, interactions between physical
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, which aims to understand and reveal the cultural and behavioral diversity of human groups through subsistence, technical, and symbolic behaviors. Your work will primarily focus on the team's third
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candidate will receive training in health and safety regulations immediately upon joining the laboratory. Human cells received are certified pathogen-free. No particularly hazardous chemical manipulations