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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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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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. • Proficient computer skills, including competence in the use of MS Office and other software packages, especially word processing, database and spreadsheet skills. About Swinburne University of Technology
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The University of Queensland, is seeking a Nanofabrication Engineer to support the integrated photonics process development and electron beam lithography operations for the National Advanced Photonics Facility
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build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship. We are committed to a differentiated university proposition in
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to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship. We are committed to a differentiated university
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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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Job no:516262 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Level B, Faculty of Sciences, Engineering and Technology Grant Funded Researcher A/B- Image and Data Researcher
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position through to December 2027 Base salary will be in the range $80,448.78 - $107,104.10 + 17% Superannuation