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Field
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– Multiscale imaging of organ-specific inflammation” and aims to develop and apply a quantitative MRI approach, by establishing a data base of simulated and experimental MR data of tissue and single cells
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indoor zones with each other and with the outdoors. This system dynamically adjusts airflow based on room conditions, user preferences, and environmental factors—offering a flexible and energy-efficient
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applications such as conversational agents, mental well-being, and education, where emotion safety is crucial; Design interventions to reduce bias and improve fairness and safety in human-AI interaction
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design principles with stakeholder engagement approaches, ensuring that the developed methods are robust, adaptable, and grounded in real-world practice. You will apply advanced techniques such as agent
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will be to: identify policy mechanisms that can change infrastructure affordance and lower infrastructure use develop an agent-based model that regards infrastructure as a socio-technical system reveal
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and metrics to evaluate bias, fairness, inclusivity, safety, and emotional responsiveness; Explore applications such as conversational agents, mental well-being, and education, where emotion safety is
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that the developed methods are robust, adaptable, and grounded in real-world practice. You will apply advanced techniques such as agent-based modelling, quantitative resilience assessment, and risk analysis to
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interaction; Design methods and metrics to evaluate bias, fairness, inclusivity, safety, and emotional responsiveness; Explore applications such as conversational agents, mental well-being, and education, where
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Multiscale Immune Systems Modeling . This position focuses on the development, calibration, and analysis of multiscale agent-based models (ABMs) and differential equation models for Epstein–Barr Virus (EBV
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, as well as the design of personalised mobile interactions with expressive virtual agents. As part of the project, the PhD student will work with students from INSA Lyon and Université Lyon 3. Finally