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that can renew the analysis and understanding of these situations. The department is interdisciplinary, drawing on and combining knowledge from cognitive sciences, information and communication sciences
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management, combined "safety/security" approaches, risk analysis, and the optimization and certification of systems using artificial intelligence. Skills in the laboratory's application domains, particularly
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characterization methods (basic skills) Analysis of biological fluids and culture media (basic skills) Ability to work independently on new topics. Strong analytical and synthesis skills. Ability to write reports
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on information and digital technologies (computer science, automation, robotics, artificial intelligence). Its aim is to develop methods for the representation, analysis, and control of systems subject to various
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intelligence models applied to the analysis of post-genomic, metabolomic, and microbiota data originating from GEC projects and those of the Sorbonne University Alliance, including the Global Health Institute
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twin and, therefore, to allow rapid diagnosis. · Collaborate with project partners for degradation analysis, for the development of new diagnostic approaches and to validate the proposed methods
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of mechanical engineering. Principal activities · Development of numerical tools for simulation of flanging process, especially for high strength steel. The developed models aim to feasibility analysis using
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load-flow analysis with (multi-)objective optimization algorithms for EV charging and discharging. – Investigate challenges related to optimality, robustness, and reproducibility of the proposed methods