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their Master's degrees in AI and machine learning. Join AIML's research community and contribute to shaping the future of industrial AI. This innovative program is supported by the South Australian Government
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). One (1). Candidate with study experience in electrical, electronic engineering, material engineering or related fields is preferred. Potential candidates, please send a CV to A/Prof Jianzhen Ou at
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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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years of full-time study in the following engineering disciplines or computer science, awarded with honours: Mechanical, Mechatronics, Electronics or Computer Engineering b) Meet participating university
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, thereby improving oil spill clean-up processes. This proposed research will advance the technology by scaling up the HPCS production and the filtration process to facilitate its future implementations. The
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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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Zealand and leading cyber security provider CyberCX. Artificial intelligence is one of the most transformative fields in technology today. Revolutionising industries from healthcare to finance, AI is
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will advance the technology by scaling up the HPCS production and the filtration process to facilitate its future implementations. The project activities include formulating and fabricating functional
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the development of low-carbon concrete. The concrete and structural engineering laboratory of School of civil and mechanical engineering has state-of-the-art research facilities and resources to complete
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Project Part B in Trimester 1, 2026 Master of Computer Science - semester 2, 2025 enrolment in: COMP SCI 7100A - Research Project Master Computer Science Part A Masters of Mathematical Sciences - semester 2