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27 Mar 2026 Job Information Organisation/Company CentraleSupélec Rennes campus Department Smart Energy Department Research Field Engineering » Electrical engineering Computer science » Modelling
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, Salesforce, ServiceNow, Snowflake, and Azure-and designs future-state structures that support data products, analytics, automation, and AI/ML enablement. Establishes enterprise data standards, models
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numerical optimisation, matrix calculation, linear regression and the development of mathematical models and quantitative methods for the optimisation of industrial production, for the management
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dynamics during regeneration, aging, and cancer, and how these processes can be modulated. Our research is primarily conducted in vivo. We combine genetic mouse models (lineage tracing, conditional
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 20 days ago
to intertwine a multi-contact whole-body controller, a digital simulation of the interacting humans, and machine learning models to predict and respond to human movements and intentions. In a crescendo of
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biology approaches to simulate biological models at different time-scales in the context oft the development of the PhysiCell/PhysiBoSS modelling systems(Ponce-de-Leon et al., 2023). In particular, we
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Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical
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how genetic and environmental factors interactions shape mucosal immunity and metabolism. Our approach includes state-of-the-art multi-omics, novel organoid culture, genetically engineered murine models
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that directly relate to this position. Conduct research in advanced manufacturing and medical device innovations by leading creative design, modeling/analysis, coordinating with clinical collaborators, generating
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to outputs generated by large language models (LLMs). The project aims to establish a benchmark of "gold-standard" CGM interpretations to inform safe, effective AI tools for diabetes care. The Research