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. Abhijit Mukherjee (Curtin University) Student type Current Students Future Students Faculty Faculty of Science & Engineering Engineering courses Course type Higher Degree by Research Citizenship Australian
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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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Future Students Faculty Faculty of Science & Engineering Engineering courses Course type Higher Degree by Research Citizenship Australian Citizen Australian Permanent Resident New Zealand Citizen Permanent
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& Engineering Science courses Course type Higher Degree by Research Citizenship Australian Citizen Australian Permanent Resident New Zealand Citizen Permanent Humanitarian Visa International Student Scholarship
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pre-colonial periods. Aims and objectives: This project will apply cutting-edge ancient DNA technology to: 1) Investigate species composition and genetic diversity through time using metabarcoding
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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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dispatching system of open-pit mines has undergone significant impacts by artificial intelligence and advanced unmanned mining technology. Deep learning methods, GPS positioning and navigation technology, IoT
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research project on the development of crushed concrete as a recycled aggregate replacing virgin aggregate. Student type Future Students Faculty Faculty of Science & Engineering Engineering courses Course
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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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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