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of prosthetic devices. The role would involve designing experiments to enable human participants to feel sensations from an artificial touch sensor, bridging the gap between artificial and biological touch and
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datasets using nodal sensors and/or DAS. You will develop novel processing methods that leverage the particular advantages of DAS and nodal deployments (such has high fold and dense spatial sampling) in
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, coding, and algorithmics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research & Scholarship Lead independent
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establish field experiments, maintain in situ microclimate and tree growth sensors, collect biological samples from soils and plants, subsequent laboratory processing of these samples, and data curation and
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probabilistic AI. The hub will develop the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved through bringing together world-leading researchers
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to maximise early outbreak detection. Active intervention: developing decision-making algorithms that recommend effective public-health interventions. Reinforcement learning (RL) provides a natural framework
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looking for researchers who can help design state-of-the-art swarm hardware for city deployments, cognition using edge-AI and perception, swarm algorithms for city-scale coordination, and interfaces
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. In particular they will play a leading role in algorithm emulator development and maintenance as well as coordinating the definition and testing of interfaces to the Level-1 Trigger system. It is
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, Elixir and Python. The Senior Research Associate role is expected to lead the investigation of the algorithmic aspects of these systems and the design and implementation of prototype tools for Erlang
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Design and deliver advanced undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning, coding, and algorithmics. Play a pivotal role in programme accreditation