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of the largest employers of electrical engineers in Australia and to offer the Future of Energy Engineering Scholarships program. We’re seeking passionate engineering students to help us shape the future of energy
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artificial intelligence (AI)-powered technologies in analysing historical data to predict high-risk zones and times for such incidents, enabling early detection and rapid response mechanisms tailored
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the implementation of industry-scale UHS projects in depleted gas reservoirs. Hitherto, we have only partially identified the hydrogen conversion and contamination mechanisms due to either biotic microbial activities
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wild grasses through selective pressure and evolutionary adaptation. Considering that grasses can be an alternative hosts for both species, the project seeks to explore mechanisms that underlie