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primal in sufficient detail to evaluate yield and speed performances, as well as other factors that influence efficiency, to optimize them. The research can potentially draw on previous studies in
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or Phd
of toilet technologies. Students will investigate how to optimize designs for manufacturability while maintaining performance requirements, reduce production costs through process optimization, and create
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advanced analytical techniques while contributing to the optimization of toilet system performance through rigorous scientific analysis and data interpretation. Cranfield’s world-class expertise, large-scale
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview This project proposes the development of low-carbon concrete using carbon dioxide-sequestrated incinerator bottom ash...
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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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sensors, firmware-controlled automation, wireless connectivity, and maintenance algorithms. Students will design, build, and test smart sanitation solutions that can monitor system performance, optimize
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project activities include formulating and fabricating functional sponges, optimizing the filtration process using modelling, conducting system characterisation and preparing research papers for publication
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Status: Open Applications open: 15/05/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Unpinning “the role of microbes in
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, university. We offer an innovative academic education to more than 20000 students, conduct pioneering scientific research and play an important service-providing role in society. We are one of the largest
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research and experimental work in the fields of sensor networks, biomedical engineering and machine learning with focus on: Utilisation of Inertial Measurement Units (IMUs) in human movement including data