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by the charity Working Families. Cranfield University's expertise in automation, embedded systems, and global development engineering provides an ideal research environment for this innovative project
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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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, coordination mechanisms, and communication processes that enable effective technology transition and successful coordination between partners in complex, multi-stakeholder environments. The study will offer new
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