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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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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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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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for assessment and diagnosis. This is typically a lengthy process, which can take up to 12 months in some areas. After this, individuals diagnosed with mild cognitive impairment (MCI) or dementia are then referred
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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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of surfaces, which is currently not resolved issue to stop bacterial colonisation. Magnetic control of nanoparticles will be relevant across several biomedical imaging techniques. Application potential: anti
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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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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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are seeking a highly motivated and enthusiastic candidate with a strong interest in computer vision, AI, and robotics. The ideal candidate will have solid programming skills, particularly in Python, and be well
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be to: create innovative astronomical instruments and algorithms for groundbreaking astronomical science in high-contrast and high-angular-resolution imaging design and characterise novel instrument