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prepared based on the findings with a focus on facilitating the replication at city and national levels. Each bike will be instrumented with GPS sensors to understand preferred cycling routes. The data will
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patch. Allergic contact dermatitis (ACD) to components of glucose-monitoring sensors and insulin pumps is increasingly problematic as disease management becomes dependent on wearable technologies. The
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networks, making use of intelligent AI-driven control planes. The work will involve: i) (i) development of network probing algorithms for OSNR/GSNR measurement automation; (ii) development of adaptive ML and
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work in a multi-disciplinary team looking at the impacts of mobility in small towns. This researcher will collect data using sensors and examine this data for trends. The researcher will also conduct GIS
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the utility and the robustness of different explanation strategies. A large focus of this project will be on leveraging novel and interpretable approaches in applied domains such as algorithmic fairness and
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scientists from, e.g., Sociology, Political Science, or Economics. The PhD candidate will also develop state-of-the-art optimisation algorithms specifically tailored to the proposed large-scale network models