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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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only if sociotechnical systems are appropriately designed. “Command and Control” (C2) is the process taken by organisations and teams to achieve shared goals, and the C2 system is the underpinning
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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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gas is a crucial aspect of the ongoing energy transition, serving as a renewable energy source for industrial processes and a substitute for fossil fuels. Australia, with abundant and cost-effective
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available in the Centre of Infrastructural Monitoring and Protection (CIMP), School of Civil and Mechanical Engineering at Curtin University, Australia. The successful candidate will work with Dr Haoran Zuo
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systems, tephrochronology, and Quaternary geochronology. These tools will be applied, for example, to study the dynamics of active caldera complexes (e.g., Toba in Indonesia and/or Cerro Blanco in Argentina
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via RMIT University application portal. Apply via RMIT University application portal. Potential candidates must have a good hold of distributed software systems, machine learning and cybersecurity
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treatment earlier as well, resulting in increased survival. The value of the Scholarship is equivalent to an RMIT full Scholarship This Scholarship will be available for 3.5 years. The value
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lowered greenhouse gas emissions, while taking uncertainty into consideration. Using the high-visibility workwear industry as a case study, a guiding framework for circular economy decision-making in
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This project is funded by the ARC Centre of Excellence for Automated Decision-Making and Society. This project is funded by the ARC Centre of Excellence for Automated Decision-Making and Society