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children with autism and eating behavior challenges. This research explores how large language models (LLMs), interactive robotics, and multimodal technologies can support creative expression and
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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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, biology or other relevant field; 3-5 years of experience in ecological or environmental modelling (e.g., TKTD, agent-based, mechanistic). Strong scientific writing skills with a track record of publications
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or environmental modelling (e.g., TKTD, agent-based, mechanistic). Strong scientific writing skills with a track record of publications Affinity with ecotoxicology and environmental risk assessment. Programming
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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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-based modelling, quantitative resilience assessment, and risk analysis to simulate and optimise resilience strategies. The framework will be tested and refined through pilot studies in collaboration with
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combine engineering design principles with stake-holder engagement tools to support decision-making under uncertainty. Using methods like agent-based modelling, quantitative resilience and risk analysis
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children with autism and eating behavior challenges. This research explores how large language models (LLMs), interactive robotics, and multimodal technologies can support creative expression and
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economics/social sciences, network flows, agent-based approaches, integrated systems, holistic design. Application of advanced mathematics such as complexity theory, mean field game theory, or statistical
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and uncertainties of such a system. This position aims at designing an intrinsically stable and freely scalable, potentially distributed power system based on 100% power electronic connected generation