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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
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of the Virtuoz platform designed for cooperative driving between a human driver and an AD (Autonomous Driving) system. This thesis aims to study a cooperative driving system between a human driver and an
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team at the Institute of Human Genetics (IGH). The IGH is a leading life sciences research institute located in Montpellier, in the south of France. It offers state-of-the-art equipment and facilities
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 26 days ago
worldwide is projected to approach 180 zettabytes (ZB) per year by 2025 [1]. However, current storage technologies face significant limitations in scaling sustainably to such volumes. One promising solution
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the analysis of large-scale genomic data and in particular the spatial and molecular organization of the human URL. His team is entirely computational and aims at decoding the cellular hierarchies and
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postdoctoral researchers, in a supportive and collaborative atmosphere. The project also relies on collaborations with colleagues in Clermont-Ferrand, who specialise in the social regulation of human behaviour
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, neurodegeneration, advanced microscopy, stem cell biology, and cell biology. The project will leverage state-of-the-art imaging facilities and established human iPSC-derived models of Alzheimer's disease. The work is
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of a GHz antenna using diamond NV center microscopy Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7588-MATMIV-017/Default.aspx Requirements Research FieldMathematicsEducation
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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