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Challenge | Overheating in existing dwellings due to increasing hot weather Change | Affordable, acceptable, effective nature driven facades Impact | Improved health and lower cooling energy demand
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engineers have to rely on steel reinforcement. This comes with a significant environmental cost, as steel production is resource- and carbon-intensive. But nature has already perfected the art of turning
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large language models (LLMs), natural language processing (NLP), and/or machine learning, with a verifiable track record (e.g., publications, thesis, or open-source contributions). Proficiency in Python
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on static process design and control that don’t account for feedstock variability, inefficient solvent use, and high energy demand, hindering scale-up. Information This project will be executed together
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-based and UV-curable inks. Implement FEM simulations linking chemistry, processing, and performance. Integrate experimental data from the experimental PhD’s for model validation. Collaborate with
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with engineered coastal defence structures, natural defences, single and multiple buildings with different characteristics founded on solid and mobile sediment beds. This rich dataset has only been