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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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on interactive Artificial Intelligence (AI). The research will focus on user studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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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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/sensor data Pedagogical value and user experience studies on enhancing learning experiences (e.g., engagement, moti-vation, and knowledge retention) through immersive and interactive VLE Scientific
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with external maintenance/repair personnel Performing client-specific training of GC/MS and LCMS instrument users Assisting GC/MS and LCMS instrument users with experiment design, instrument operation
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and Compliance, User Experience; Computational Data Science and Applications; High-performance, Energy-efficient Computing. POSITION RESPONSIBILITIES The faculty members will be responsible for three
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might also contribute to our understanding of how other spaces can be designed to support the required user experiences. The project is coordinated by an academic supervisor at the University of Cambridge
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scenarios with only 200-300 primary users. Working Environment at CADIA You will join the Center for Analysis and Design of Intelligent Agents (CADIA) at Reykjavik University, one of Iceland's leading AI