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learning (RL) policies in the context of human-robot interaction (HRI), aiming to bridge the gap between advanced RL decision-making and human trust, understanding, and collaboration. The research will
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learning (RL) policies in the context of human-robot interaction (HRI), aiming to bridge the gap between advanced RL decision-making and human trust, understanding, and collaboration. The research will
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: • Demonstrated experience or strong capability in polymer composites, engineering modelling and structural analysis, particularly in physical wave modelling, finite element analysis (FEA), fluid-structure
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, which can connect structure, behaviour and function of proteins, for understanding diseases and developing drug and vaccine treatments. Modern AI techniques can provide powerful models for classifying
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knowledge is produce often responds to individual incentives [1]. Scientist are not only cooperating with each other, but in many cases competing for individual gains. This structure may not always work for
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knowledge is produce often responds to individual incentives [1]. Scientist are not only cooperating with each other, but in many cases competing for individual gains. This structure may not always work for
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research leading to creative outcomes (experimental artworks; design applications) that propose original and innovative scenarios of human-machine interaction and co-creation between technology and human
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meaningful online interaction, personalization, and content discovery? This PhD investigates how online social media data can be used to infer a person’s personality, emotions, beliefs, vulnerabilities
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meaningful online interaction, personalization, and content discovery? This PhD investigates how online social media data can be used to infer a person’s personality, emotions, beliefs, vulnerabilities
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including hard- and software design for quadcopters and motion capture is desirable. The result will be a thesis in the field of interaction design, contributing to our understanding of experiencing the