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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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, 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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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
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Short description The PhD project is focused on recommended design and engineering principles of totally renewable microgrids with the ambition to outperform traditional networks reliability
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, you'll play a key role in advancing low emissions farming systems and supporting projects with key stakeholders. In this exciting role, you’ll work closely with a diverse team of agronomists and
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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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(Academic Level A) Based at our St Lucia campus About This Opportunity This is an exciting opportunity for a Postdoctoral Research Platform Fellow to play a key role in a new initiative funded by
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Competitive Salary Fixed Term, Full time, Joondalup Campus Open to candidates with relevant work rights DIGITAL SERVICES DIGITAL BUSINESS SYSTEMS COMPETITIVE SALARY PLUS 17% SUPERANNUATION FULL-TIME
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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