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focuses on transforming lowvalue or waste co-products from the meat industry into high-value, sustainable products. As part of this project, we wish to develop Digital controls in the form of field Sensors
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, wide area sensor networks as well as GIS databases that can be integrated into a suite of urban based models, from simple surface energy models to more complex dynamical land surface models. A core
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. The project will generate spatial-temporal datasets from various sources including Spaceborne Satellites, Drones, in-situ instruments, wide area sensor networks as well as GIS databases that can be integrated
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insights that inform policy and strengthen environmental resilience. The Witness Tree Project investigates the role of long-lived trees as natural sensors of environmental change, with a particular focus on
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insights that inform policy and strengthen environmental resilience. The Witness Tree Project investigates the role of long-lived trees as natural sensors of environmental change, with a particular focus on
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sources including Spaceborne Satellites, Drones, in-situ instruments, wide area sensor networks as well as GIS databases that can be integrated into a suite of urban based models, from simple surface energy
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Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
addressing important data-driven applications in medicine, engineering, and the physical sciences, on the basis that important applications foster novel algorithms which in turn enable new applications
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vision, IoT sensors, and blockchain to monitor food quality, safety and animal welfare in real-time and enhance transparency. AI and machine learning will analyse data from pilot sites to identify
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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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experience Evidence of experience with public-patient involvement and stakeholder engagement Track record in scientific publication and dissemination Experience with Machine Learning Algorithms and Artificial