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lung health, across a range of laboratory and imaging programs. Role Summary This role will help to develop lung function-based respiratory biomarkers through AI, machine learning and image processing
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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of these crystals greatly affects the performance of the metal and hence the performance of components where metals are used - such as in aeroplanes, gas turbine engines, cars, etc. The manner in which such materials
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and communication skills in healthcare. You will use sensor-technology to capture multimodal ‘trace’ data including gestures, speech, workspace spatial layout and manual handling of objects. You will
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established protocols to ensure consistent, high-quality imaging outcomes. Ensure efficient processing, organisation, and secure storage of research imaging data in accordance with Facility and University
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part of an innovative project that not only benefits the construction industry but also sets a precedent for using technology to bridge gender gaps in various sectors. Eligibility You will need to: meet
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sensors — from accelerometers to acoustic and imaging technologies — and support cutting-edge monitoring platforms that operate continuously for industry partners. Your work will directly inform engineering
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funding, and advance environmental engineering research. Contribute to the development and operation of water monitoring systems for research and teaching, supports consultancy activities, and provides
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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into practical, scalable AWS solutions. You'll prototype, build, teach, and collaborate — working across RAIL, RACE, ITS, and AWS to make cloud technology genuinely accessible and impactful for RMIT researchers