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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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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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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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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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confirmation) The Opportunity This is an opportunity for a talented PhD candidate with strong skills in developing prototype systems for Extended Reality (XR - which encompasses augmented and virtual reality
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taking our Match My Skills quiz. Research Why QUT Explore Our research vision Equity and diversity Support for researchers Meet our experts Ethics and integrity Research jobs at QUT Our facilities
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models for structural health monitoring of civil engineering structures. Digital twin models are used to interpret real time information from videos and images aided by computer vision techniques
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. Objective 2: Toolkit Development. The student will work with our consumer groups and the design team to develop the toolkit. They will develop a prototype and run a series (n=3) of elevation sessions with
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outcomes that make significant contributions to improving the lives of others globally. Our overarching vision is to make a significant and long-lasting impact that changes the world around us, beginning in
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revolutionized the field of artificial intelligence, leading to remarkable advancements across many applications ranging from image classification to natural language processing. Despite these successes