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the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity
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will examine how the configuration, connectivity and condition of these dynamic water systems, and their surrounding land cover, influence environmental buffering, biodiversity and social benefits
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, operation, and monitoring to reduce land requirements, optimise nutrient removal, and deliver broader ecosystem benefits. The research will combine field monitoring at a newly constructed wetland with
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and improve monitoring practices, and the social factors that influence their uptake. This studentship offers a unique opportunity to engage in ground-breaking research with practical applications
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realistic environment for research and training. SIU 737-200 ECS: A ground-based Boeing 737-200 Environmental Control System used for simulating faults and studying system behaviour under various conditions
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for research and training. SIU 737-200 ECS: A ground-based Boeing 737-200 Environmental Control System used for simulating faults and studying system behaviour under various conditions, aiding in
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other onboard systems, providing a realistic environment for research and training. SIU 737-200 ECS: A ground-based Boeing 737-200 Environmental Control System used for simulating faults and studying
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to enhance ecological resilience and community wellbeing. The project will examine how the configuration, connectivity and condition of these dynamic water systems, and their surrounding land cover, influence
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environmental control systems and other onboard systems, providing a realistic environment for research and training. SIU 737-200 ECS: A ground-based Boeing 737-200 Environmental Control System used
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engineered: blue spaces introduced on ecological grounds, nature-based infrastructure interventions to manage flood risk, and highly managed river restoration schemes, for example. They are also highly dynamic