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characterisation, and computational modelling to investigate the relationship between matrix properties and osteogenesis. This will contribute to deciphering the importance of mechanical stimulation of the cellular
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interpret experimental and physiological data and contribute to the development of models and predictive approaches for human thermal responses. Communicate scientific results through peer-reviewed
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Develop and validate agent-based policy models representing relevant decision-makers and institutions in EU policy contexts, including the Common Agricultural Policy, Nature Restoration Law, and Corporate
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interpretable alternative in modelling to the black-box approach of neural networks. Job description The selected candidate will work on the furhter development of spectral submanifold (SSM) methods, aiming
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candidate to join an interdisciplinary Future Health Technologies (FHT) research programme at the forefront of agentic AI in healthcare. The project aims to design, develop, and evaluate AI-driven coaching