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investigate new fibre and surface geometries for flow control and for applications such as water harvesting from atmospheric fog. The physical designs will be partly bio-inspired and will emphasize
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- One Method Does Not Fit All: Co-design of Context-aware Adaptive Mobile Authentication for Older Adults”, “2024.14974.PEX”, “DOI: https://doi.org/10.54499/2024.14974.PEX ”, funded by the Fundação para a
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and limitations arising from the use of AI-based methods in predictive feedback. The successful candidate will: explore how a combination of multimodal observation (audio, video, LIDAR, thermal vision
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production, storage, consumption, and market interactions. This transition is fundamentally reshaping the structure of energy networks, shifting from centralized control to distributed, prosumer-driven
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physical latency limits and human perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data
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on understanding and controlling the formation and interactions of soft materials at the nanoscale using principles of molecular self-assembly. We harness a broad range of building blocks – including polymers
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of limited temporal and spatial accuracy of such remote interactions. We pay particular attention to the exploration of potential and limitations arising from the use of AI-based methods in predictive feedback
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of California prohibits smoking and tobacco use at all of its university-controlled properties. The UC San Diego Annual Security & Fire Safety Report is available online at: https://www.police.ucsd.edu/docs
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. This transition is fundamentally reshaping the structure of energy networks, shifting from centralized control to distributed, prosumer-driven ecosystems where interconnected multi-agents interact strategically in
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new experiments, as well as developing new theoretical understanding of the flow physics. The projects aim to design and investigate new fibre and surface geometries for flow control and for