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neurophysiological variable estimation framework we have been developing that can be applied to all kinds of brain activity recordings. There are two projects to be completed under this program and we are looking
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Proceedings of CoNLL, 2018. [2] Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach Trang Vu, Gholamreza Haffari In Proceedings of EMNLP, 2018.
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, be a change-maker and develop your career in exciting ways. This is why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. Learn more about Monash . Be
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recruitment, developing protocols and training materials, and managing data capture and digital platform integration. You’ll liaise with clinicians, researchers, and tech providers, provide training and support
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. For many real-world planning problems however, it is difficult to obtain a transition model that governs state evolution with complex dynamics. Fortunately as visualised in Figure 1, recent works
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experiments for months before the value of output y is measured for some given input x. This creates an exciting challenge for AI researchers to develop smart algorithms that can find the optimal value of input
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or academia in an under-developed domain. You will, therefore, need to have an honours degree or Masters in psychology or a related social science field (e.g., business studies, criminology, sociology
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals
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aims to improve efficiency and privacy of federated learning for mobile health sensing data by proposing a multi-level (mobile-edge-cloud continuum) federated learning architecture and develop context
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completion); Applied for admission to a PhD program at an Australian university or be a student enrolled in their first 12 months of study in a PhD program at an Australian University; A university supervisor