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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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All applicable HDR courses Eligibility criteria A First-Class Honours or Masters degree in Mathematical Sciences/Computing/Electrical Engineering/Mechanical Engineering. A solid mathematical modelling
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background. Those who have the aim to study and research a course of Natural Science or Cultural Science or Social Science in a Master’s program at a Japanese university, and were permitted or are expected
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of SKA-Low, Engineering Development Array 2 (EDA2) to perform an all-sky survey of low-frequency FRBs. Depending on specific interests of the candidate the project can be steered more towards Search for
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in the world including Australia. This project may provide an internship opportunity. Student type Future Students Faculty Faculty of Science & Engineering Engineering courses Course type Higher Degree
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to creating a deeper knowledge about how a relatively modern technology has been adopted and used in non-Western settings and the consumption of photographs in such settings. • To derive theoretically informed
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Engineering and Computer Science (Master of Philosophy). Eligibility criteria Australian citizen Full-time enrolment Have a tertiary qualification in electrical, electronic or mechatronic engineering or