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Field
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cities. In this position, you will develop VR-based immersive environments to test and evaluate urban mobility interventions (e.g., mobility hubs). You will design experiments to capture behavioural
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, functional array programming DSLs) to tackle challenging probabilistic and differentiable programming applications (e.g., experimental design, machine learning for science). We do so by bringing together a
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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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research and innovation that incorporates new technologies and utilizes our state-of-the-art research infrastructure. The user of the building is at the center of our research interest. To capture
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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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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
(RMM-VLE) based on DTCS and real-time IoT/sensor data Assessment of pedagogical value in user experience studies on enhancing learning experiences (e.g., engagement, motivation, and knowledge retention
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environments Sensory studies or affective computing 3D audio or spatial sound design Experience working in collaborative or interdisciplinary research settings Familiarity with digital tools for media analysis
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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that generate more energy than they consume and carbon-neutral heating and cooling is a core element of their design. The design and realization of PEDs involves (complex interactions between) societal, technical
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for Postdoctoral Researchers/Research Fellows in the following areas: Areas of interest: Privacy and Compliance, User Experience; Computational Data Science and Applications; High-performance, Energy-efficient