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. 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-based
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early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent-based platforms, co-creation workflows, and
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-native 5G/6G networks. The project will explore the mechanisms, control loops, and open interfaces needed to use Generative AI (GenAI) and Agentic AI safely and efficiently to operate modern softwarized
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, failures and performance degradations can cascade across domains and slices, and platforms are often multi-vendor with different APIs and data formats. At the same time, GenAI and Agentic AI can help
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flow reconstruction, enabling both real-time coarse diagnostics and high-fidelity offline velocity field estimation. Developing reinforcement learning (RL) algorithms for a multi-agent robotics system
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the context of critical illness. This position focuses on computational modeling of host-response mechanisms using high-dimensional multi-omics datasets. The fellow develops novel computational pipelines
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navigation systems (ANS) and secondary focus on external situation awareness (ESA). Design and implementation of an agentic AI-based multi-agent architecture for structured testing and assurance, inspired by
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contribute to the GlycoMetalGuard project under supervision of Principal Investigator, Dr Byrne. This exciting research will focus on design, multi-step synthesis, metal complexation, purification and
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, G., Bazzi, R., Roux, S., Becharef, S., Avveduto, G., Gazeau, F., Gateau, J., 2023. Quantitative, precise and multi-wavelength evaluation of the light-to-heat conversion efficiency for nanoparticular
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methods, network flow modelling and multi-agent or decision-simulation approaches, the student will assess trade-offs between local objectives and national-level resilience outcomes. A further strand will