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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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) technologies (e.g. Geospatial Analysis, Geocomputation, Spatial Modelling, Robotics, Sensor Technologies, ML etc.) to carry-out rapid, wide-area mapping, 2.5D real-world modelling and highly automated feature
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societal performance of HBGI interventions. • Support the setup and monitoring of experimental HBGI deployments, using tools such as LiDAR, wave sensors, sediment elevation devices, and biodiversity
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24 Months, Fixed-Term, Whole-Time Post Position Summary A position is available for a postdoctoral researcher to work on a new project focused on developing a sensor for electrical detection
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create reports to a high level of detail after analysing raw data from sensors. The person will be actively involved in adhering to a quality system and be a willing participant in the promotion of a safe