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the Digital Systems and Intelligent Sensors group (DSIS). within the School of Electrical Engineering, Computing and Mathematical Sciences. DSIS endeavours to utilise technology to assist people with
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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
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(one) Applicants preferably have an academic background in Chemical Engineering, Material/Mechanical Engineering, Environmental Engineering, or Applied Chemistry. However, candidates from closely related
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carbonation of IB and establish best practices for its incorporation into concrete formulations. Investigate the physical and chemical changes of CO2-treated IBA. Investigate the improvements of mechanical
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, this scholarship will include a tuition fee waiver for a successful international candidate. Scholarship Details Maximum number awarded 1 Eligibility criteria A background in environmental, chemical or biological
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Hons degree, Master’s degree or equivalent in Microbiology, Biotechnology, Geochemistry, Geology, Chemistry, Civil engineering or related fields Prior publications in good quality journals are desirable