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of statistics and quantitative data analysis, hands-on experience with R or Python strong interest in prototyping commitment to and interest in the design and implementation of Open Science/Open Source practices
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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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current best-in-class benchmarks. Beyond the automotive sector, the project might also contribute to our understanding of how other spaces can be designed to support the required user experiences
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or social robots; trust and reliance on conversational agents designed to be charming and disarming; so-called "dark patterns" and manipulative tactics in the user interfaces of a range of technologies, from
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The project focusses on the healthcare and sports application development related to super-smart textiles and other wearable electronic technologies. This incorporates the user-centric design considerations
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, maintenance, disposal and recycling is required. Based on over a century’s experience, design and operation of power transformers have been highly optimised, with peak energy efficiency reaching over 99
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/or increase in efficiency. Additive manufacturing (AM) could help increase the efficiency of the GTs by enabling complex designs. AM has been used for static GT components, however the use for high
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-in-the-loop representation learning algorithm design, asking users to decide what data pattern/structure should be preserved by an algorithm and injecting the preference into algorithm design. The
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cutting-edge research in quantum sciences and fosters future innovation. As a doctoral candidate, you will be part of the Vienna Doctoral School in Physics (VDSP), a vibrant community of over 100 quantum
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cutting-edge research in quantum sciences and fosters future innovation. As a doctoral candidate, you will be part of the Vienna Doctoral School in Physics (VDSP), a vibrant community of over 100 quantum