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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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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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PhD Scholarship for a Design-Led Research Program on the Future of CT Imaging in Distributed Care Job No: 680923 Location: Caulfield campus Employment Type: Full-time Duration: 3-year fixed-term
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University of New South Wales Canberra | Canberra, Australian Capital Territory | Australia | 3 days 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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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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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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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
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an environment in which everyone thrives. In line with Curtin’s 2030 Strategic Plan, Curtin University is committed to optimising employment outcomes for Aboriginal and/or Torres Strait Islander peoples. Curtin
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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