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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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unique opportunity to acquire a very broad skill set of biochemical, biophysical, bioimaging and molecular techniques, combined with diverse data analysis and bioinformatics skills. The project would suit
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on a combination of chemical hydrophilicity and a specialised micro-texture that further enhances the wettability. Wettable surfaces in all three groups have intricate micro-topographies with striking
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, aligning with the Medicine without Doctors wider vision and combining methodological approaches from medical sociology, medical anthropology, STS, and history, to study the emergence and standardisation
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targets the development of advanced coatings to prevent cell-to-cell propagation during runaway events. It combines experimental studies, numerical modelling, and real-world burner rig testing, culminating
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“Digital Trust in the Computing Continuum: Trustworthy Path Agility for Computing Continuum transactions.” These PhD studentship awards include tuition fees plus a combined maintenance grant equivalent
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treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
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reflection. Our previous work has only just reached the point where all the above elements have been successfully combined [1-2]: a working multi-scale design process combining theory and numerical simulations
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treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
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engineering, clinical research, and AI-driven health monitoring. This project will explore large-scale maternal datasets—combining clinical cardiovascular assessments with wearable sensor data—to detect early