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for scalable, data-rich design and operation frameworks within diverse building contexts. For project-specific enquiries please e-mail Prof. Dongfang Liang, dl359@cam.ac.uk . For general enquiries, please email
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or Matlab and data analysis (essential, beyond introductory coursework)- experience with neuroimaging data design/collection/analysis (fMRI, M/EEG) and behavioural data collection and analysis- experience in
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diverse and dynamic research team working across aerospace, automotive, energy, defence, and biomedical sectors. The groups expertise includes alloy design, microstructure-property relationships, phase
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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production processes and are actively exploring the incorporation of new materials, technologies and designs in their operations to achieve zero-carbon construction elements. The construction industry is under
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research team working across aerospace, automotive, energy, defence, and biomedical sectors. The group's expertise includes alloy design, microstructure-property relationships, phase transformations, and
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research team working across aerospace, automotive, energy, defence, and biomedical sectors. The group's expertise includes alloy design, microstructure-property relationships, phase transformations, and
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and dynamic research team working across aerospace, automotive, energy, defence, and biomedical sectors. The groups expertise includes alloy design, microstructure-property relationships, phase
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projects); Sustainable Innovation & Entrepreneurship, which introduces students to identify and analyse innovation opportunities from commercial and societal perspectives, evaluate competitive landscapes
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small molecule interactions with DNA, RNA and associated proteins. We are exploiting our findings from such methods to design bifunctional small molecules that target the genome and chromatin-associated