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Fixed-term: The funds for this post are available for 3.5 years in the first instance. Dive into the future of visual technology with a studentship at the forefront of modern imaging science, where
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) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage
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. Many novel concrete technologies and mixes are not currently covered by building codes, and it takes considerable time to include new technologies in codes and standards. Lack of routes to validation
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, please state the course code EGEGR3 with Project: Data-Intensive AI Thermodynamic Models for Next-Generation Building Decarbonisation with Prof Dongfang Liang. Please note that there is a £20 application
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https://www.cambridgetrust.org/scholarships/ Applications should be made online via the University of Cambridge Applicant Portal: (via the above ‘Apply’ button) stating course code EGEGR3 with Project