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drones can capture visual and thermal imaging at a very high resolution, suitable for detecting photovoltaic modules and the cleanliness of solar panels. These images and other data can be processed by
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role supports the development of a novel nanophotonic therapy to treat drug-resistant hypertension—a major and growing global health challenge. The successful candidate will focus on synthesising
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your own learning at one of the world’s top 80 universities Take your career in exciting, rewarding directions Fibrosis is a scarring process characterised by the excessive deposition of connective
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position is monitoring administrative processes across the student lifecycle—starting from commencement through to completion—to ensure alignment with both internal university policies and the ESOS Framework
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
propagation Interfacing to array microfluidics Image analysis of biosensor response Sensor surface biofunctionalisation Optical communications High-speed signal analysis Modelling of optical propagation in
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Austofix is a South Australian Medical Device Company specialising in orthopaedic implants suitable for trauma surgery. With a focus in research, design, manufacturing and distribution it has a number of
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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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in the below key accountabilities: Experience with training and implementing neural networks and/or analysing satellite imagery Experience working with large databases and/or developing image
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our understanding 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
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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