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of future challenges. With this new strategic plan, we choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship
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strategic plan, we choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship, and proud of it. We are committed to a
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Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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Swinburne University of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university, one that is truly
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structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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defence trailblazer project, and in particular ensuring delivery of a prototype, field-deployable quantum sensing device. The role entails developing project planning documentation, identifying and building
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this position, you will have: PhD or equivalent in relevant field Evidence of experience in some or all of the following: bacterial culture, mammalian cell culture, antimicrobial testing, advanced imaging
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Indigenous communities across Queensland. Aboriginal and Torres Strait Islander applicants are advised collection materials they may interact with in this role may contain images, voices, and videos