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funding. Requirements A PhD degree in a relevant discipline (e.g., civil engineering, computer science, AI, architecture, or related fields); A strong publication track record; Experience with Building
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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and data-driven planning; design computation and parametric architecture, and adaptive architecture. Civil Engineering - smart transportation, water resources, advanced construction materials
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. Requirements A PhD in Computer Science or related disciplines. Candidates should have an excellent proven record of research and teaching in Computer Science. Preference will be given to candidates with strong