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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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Digital Technology” research axis, confirming its structuring role at the interface between digital sciences, the humanities and social sciences, and the cultural and creative industries. Voici la
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analysis in the face of changes in topology and operating mode. • Evaluation of the potential contribution of digital twins to improving diagnostics, interpretation of results, and system resilience. 4
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workspace (including a computer) in one of the offices dedicated to PhD students, access to equipment available for loan within the laboratory (such as a digital recorder), and full access to the University