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. The candidate will be hosted within the Molecular Chemistry and Macromolecular Materials (C3M) department at CNRS-ICMPE, a multidisciplinary research environment dedicated to the design and synthesis of advanced
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
the Auctus team at the Inria center of the University of Bordeaux (Talence). Thisthesis falls within the scope of the team'sscientific axis on the design and control of robotic systems. The project will
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high-technology group operating in the aerospace, space, and defence sectors. The company designs, manufactures, and supports cutting-edge systems and equipment for civil and military applications. As
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–Science research-creation project bringing together engineering, life sciences and design. This interdisciplinary framework will enable the candidate to develop innovative experimental models while engaging
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to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5608-JOSRAT-012/Default.aspx Requirements Research FieldHistoryEducation LevelMaster Degree or equivalent Research FieldHistoryEducation
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ability to transport RNA, with the physicochemical properties of liposomes designed to promote membrane fusion and enable magnetic guidance. The resulting nanoplatform should therefore enable the targeted
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within the Solid-state Quantum Technologies team (S2QT – https://solidstatequantumtech-l2c.fr/ ) of the Charles Coulomb Laboratory in Montpellier. The doctoral work will be supervised by Vincent Jacques
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, psychology, movement science and signal processing. Main Responsibilities The PhD candidate will be involved in all stages of the research, from the design and implementation of the experiments to data
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at the Ministry of Higher Education, Research, and Innovation (MESR). As part of the shift in the energy mix toward a reduction in the share of fossil fuels, the development of new stationary energy storage systems
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). This thesis aims to investigate how to design argument mining systems (detection, classification, and extraction of argumentative relationships in texts) that minimize biases introduced by training data