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) methodologies. This initiative seeks to address the growing demand for sustainable battery production, ensuring responsible sourcing, and minimising environmental impact while promoting ethical practices across
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of these models and quickly detect any decline or unexpected behaviour. The system will be designed to recognise when it encounters unfamiliar conditions—whether these involve unusual appearances, shapes
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fracture outcomes using a static locked femoral nail or a femoral nail in the dynamic mode with a sliding lag screw. Clinical factors (including analgesic requirements, Time up and go) and radiological
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commences. This research performed under this internship by an Electrical/Power Engineering PhD student will help AEMO make informed decisions about whether to pursue regional FCAS requirements
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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