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a digital format. Computer visions techniques have been recently developed for structural health monitoring of civil structures, including vibration displacement measurements, crack detection and
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charge which provide an ideal interface between human-built devices (where signals are carried by electrons) and biological systems (where signals are carried by ions). This research will cover theoretical
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PhD student(s) will join a vibrant team of postdocs, academics, and up to four PhD students working collaboratively across modelling, qualitative fieldwork, and optimisation techniques. PhD Research
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Location: Turning Point, 110 Church Street, Richmond Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: There are various scholarships offered by Monash University to support
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the structure present in food systems dictates functional aspects such as digestion and release of nutrients. Working alongside other postdocs and students focused more on biological aspects of these processes
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of eligibility requirements, including English-language proficiency skills, to undertake a PhD in the Faculty of Arts are available at arts.monash.edu/graduate-research/application-process . Applicants should
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the following knowledge and/or experience are highly preferred: Computer Vision, Signal Processing, Machine Learning knowledge and/or; Experience Industry knowledge and/or; A track record of published
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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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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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desirable. The successful applicants must be enrolled on a full-time basis and cannot hold any other scholarship. Application process Please send your CV and a very brief rationale [2-3 paragraphs, maximum