621 web-programmer-developer-"https:"-"UCL"-"CERIC-ERIC"-"https:" PhD positions in United Kingdom
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accessible AI. Project aims and objectives The aim of this PhD project is to develop principled and efficient methods for multimodal learning under resource constraints. The research seeks to understand how
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International Learning) running across the institution to develop a novel AI-XR prototype. The successful candidate will have the unique opportunity to drive the development of a novel AI-XR curriculum framework
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or temperature. This project will develop the materials, methods, and designs necessary to 3D-print the next generation of electro-responsive soft-actuators. The overall aim is to develop and exploit new designs
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to produce anti-counterfeit markings, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively
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the biological mechanisms behind these neurological and sensory disorders and harness this knowledge to develop new therapeutic strategies. We have world-leading experts who interrogate these conditions at
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. To research and develop workflows for AI-assisted 3D reconstruction, texture mapping, other low-cost modelling techniques and interactive environmental data visualisation. To work with communities, local
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, development of neighbourhood portraits, interviews, community surveys, mapping). You should have a PhD degree in relevant areas of Public Health and experience of organising and conducting research in a
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. This post forms part of an international multi-site programme with the title: Sociology of Authoritarian Law: Insights from Central Asia (SOCIAL), which is based at the University of Lund. It is funded under
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. This post forms part of an international multi-site programme with the title: Sociology of Authoritarian Law: Insights from Central Asia (SOCIAL), which is based at the University of Lund. It is funded under
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities