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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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in biological problems using physical and chemical theory and computer-based techniques Meet RMIT’s entry requirements for the Doctor of Philosophy. and Be judged to be highly competitive for RMIT PhD
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nominated on your application, you should proceed to the next step. Follow your faculty’s ‘how to apply’ process The process for applying for a PhD scholarship at Monash varies for each faculty, but in
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not progressed beyond the proof-of-principle. Templating chirality on the surface of stable and common conductors, such as engineered nanoscale three-point chiral kinks on platinum and copper, is not a
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. The underwater acoustic communication technologies will help. The school is focusing on research in AI/machine learning and signal processing which are the research areas in this proposed project. We have
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Vision and Edge Computing'. PhD candidates involved in this project will be trained in the emerging field of smart infrastructure, which is critical for Australian society in the coming decade
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and electronics engineering, or computer science. • Have experience in programming languages (e.g. Python) and machine vision and signal processing algorithms. • Practical experience in electronic
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computer simulation methods to explore the mechanisms of ion conduction, selectivity and activation for ion channels that control neuronal signalling and brain function. Investigations may extend to how
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”. Research topics on vision based techniques for vibration measurements, artificial intelligence techniques, data analysis and signal processing techniques for structural health monitoring are covered in
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of our healthcare workforce is at crisis point. Working within emergency medicine is associated with traumatic events, or situations that may lead to moral injury, and adverse mental health outcomes