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Field
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learning from limited data, cross-sensor integration, and scalable reasoning over large-scale time-series data, with applications in disaster response, urban analytics, and environmental monitoring. The team
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systems, data collection for machine learning, wireless physical layer, radio electronics, explainable AI strong problem solving and analytical skills. To keep our community safe, please be aware of our
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for machine learning, wireless physical layer, radio electronics, explainable AI strong problem solving and analytical skills. To keep our community safe, please be aware of our COVID safety precautions which
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
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and surrounding crust, as well as the development of cutting-edge sensor technologies in partnership with other researchers. The intended span of the project will extend across the design, installation
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and fabricating transparent and flexible microelectrode arrays (MEAs) based on conductive polymers for recording the electrical activity of enteric neuronal networks, as well as for performing cellular
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-driven analyses that help inform future sensor requirements. The position also provides opportunities to investigate how modern artificial intelligence and scientific machine learning techniques can
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, R, MATLAB) for data processing and analysis. - Experience in statistical processing of spatial and temporal data. 4) Instrumentation and metrology: - Knowledge of sensors and measurement instruments
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CAREER project conducted in partnership with rural educators. The project co-designs locally meaningful investigations in which students use environmental sensors, real-world data, and carefully designed