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(technical personnel and toilet users), implementing AI-driven data analytics for system optimization, and creating predictive models for environmental and social impact assessment. Students will work with
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technology development is bridging the gap between prototype development and real-world impact - often referred to as crossing the “valley of death” where promising lab-based innovations fail to reach
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, and evidence-based recommendations for optimizing waste treatment processes. Results will include published research in high-impact environmental and analytical chemistry journals, standardized testing
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