3 modal-time-freqeuncy-artificial-intelligence Master positions at Cranfield University
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conduct interdisciplinary research combining software engineering, artificial intelligence, IoT development, and human-computer interaction to create intelligent software systems that serve both technical
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managed sanitation, automated toilet systems equipped with IoT sensors, intelligent controls, and real-time monitoring capabilities are essential for addressing this global challenge. This multidisciplinary
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, microbiology, waste treatment, and engineering, the project seeks to strengthen system reliability and generate critical evidence to guide the advancement and deployment of future sanitation technologies. Key
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