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will be required to identify opportunities for technology and process innovation with a focus on developing and deploying multimodal AI/Gen-AI models, AI Agents, and AI-based software systems for content
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data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by delivering
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generation. AI-based performance assessment in early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent
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meaningful, data-driven models of disease processes, including stratification. The project will also explore the combination of data-driven and knowledge-driven approaches through multi-agent simulation