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admission at the University of Adelaide, and who can demonstrate suitable experience in electrical engineering, physics, signal processing, or related fields. Experience with RF systems, antennas, or embedded
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and technology. Engaging in solving a real-world problem requires a real solution to enhance housing resilience. Applying research skills to optimise and innovate AI-driven solutions for the housing
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the development of predictive models to anticipate potential failures. Additionally, the project will facilitate the transfer of this technology to industry, while also advancing academic knowledge
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response incentive arrangements with the national electricity market (NEM). Currently cost recovery for regulation frequency services is based on the causer pays process, which allocates the cost of sourcing
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advances in process-based crop models such as APSIM, their integration often remains limited. This project proposes to get more out of on-farm data streams and process models through their more formal
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inter-disciplinary research in biology, engineering and physics aspects of quantum technologies. Projects will include the development of quantum light sources, quantum detectors and sensing with