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interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence
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, transmission and distribution systems (in near real-time and longer-term timeframes). Developing approaches and techniques for solving grid challenges associated with renewable energy integration, managing
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computational tools for quantifying electromagnetic field distributions down to the fundamental atomic scale. The project will build on recent developments in inverse scattering methods, including ptychography
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Australian Research Council (ARC) Funded PhD Opportunity at Faculty of Engineering: High-Speed Rail and Sustainable City Sizes in Australia Location: Clayton campus Department/Unit: Monash Institute
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University of New South Wales Canberra | Canberra, Australian Capital Territory | Australia | about 14 hours ago
Mathematics, or a four-year Honours degree. A PhD program is also offered. The School has strong research profiles in Bushfire Research and Number Theory. The UNSW Canberra Bushfire Research Group leads
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activity. The Officer will also oversee and edit briefing documents for policymakers and lead training of ACEAS staff and PhD students in science communications. The position’s fraction is by negotiation in
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developing robust and feasible mathematical models for differential privacy by investigating the data dynamics (IID and Non-IID) of distributed machine learning. Besides, trustworthiness is another major
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, and costs of running diverse applications in large-scale distributed systems. This project offers researchers and students a chance to explore cutting-edge concepts in AI-driven infrastructure
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presentations. Contribute to grant applications for competitive funding opportunities. Who we are looking for (Selection Criteria): Essential: PhD (or near completion) in Geophysics or a related field or an
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best people come to do their best work. THIS ROLE IS LOCATED IN SYDNEY, AUSTRALIA. The School of Mathematics and Statistics currently has more than eighty continuing academic staff and more than thirty