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to receive a first or upper-second class honours degree in Materials Science, Mechanical Engineering, Physics, or a similar discipline. A postgraduate master’s degree is not required but may be an advantage. A
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group have developed an AI-enabled system which can extract detailed retinal vasculometry characteristics from colour fundus photographs (CFPs) in a fully automated way, allowing application to large
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liquid nitrogen and liquid helium sample environments and integrating electrical biasing setups in the microscope to study ferroelectric materials in situ. Data Acquisition and Analysis: Process and
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); The applicants may have a background in any aspect of Materials Science, Metallurgy, Physical science or Engineering. A copy of your undergraduate/Postgraduate degree certificate(s) and transcript (s); Names and