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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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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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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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. Evidence of journal or conference publications 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
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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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eligibility requirements. Meet Curtin's English language proficiency requirements Application process Step 1: Applicants must find a suitable supervisor who agree to supervise them in their areas of research
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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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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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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
waveguides and fibres Digital signal processing Design and analysis of photonic systems. Applicants must have a Bachelor/Masters degree (or equivalent) in electrical/electronic engineering, nano