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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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guidance technologies that support CT scanning by generalist clinicians working in distributed healthcare settings. Design Health Collab is a cross-disciplinary design research lab dedicated
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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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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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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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This PhD Scholarship is funded by 2022 ARC Discovery Project “Modelling temporal evolution in spatial ecology with dynamical point processes". The world is undergoing rapid environmental change
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in Adelaide and Melbourne. Expected outcomes The Finite Element Method (FEM) is the current dominant approach for modelling real-world signals but requires substantial, uniformly distributed data. Real
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clearly outlining your experience in developing distributed systems/applications; also important to list any publications, awards, and relevant professional experience English language proficiency test
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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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Austofix is a South Australian Medical Device Company specialising in orthopaedic implants suitable for trauma surgery. With a focus in research, design, manufacturing and distribution it has a number of