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We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses / image analysis, across
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Machine learning has recently made significant progress for medical imaging applications including image segmentation, enhancement, and reconstruction. Funded as an Australian Research Council
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The brain is a complex system and monitoring and imaging methods to observe critical neurophysiological variables underlying brain function are limited. This project works at the intersection
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Artificial Intelligence (AI) is revolutionizing the field of Magnetic Resonance Imaging (MRI) by enabling faster, more accurate, and cost-effective image reconstruction. This project explores
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Job no:520488 Work type:Full Time Location:Crawley, QEII Medical Centre / SCGH Categories:Research support Be part of a national initiative advancing clinical imaging research. Drive innovation in
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of senior researchers, engineers, postdocs, and PhD students working together toward impactful science and mutual growth. In this role, you will apply your expertise in aquatic biogeochemical and ecological
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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– Empathise, Discover, Ideate, Prototype, Test, handover to Developer, and Validation. You have a high attention to detail, with a mix of creative and analytical problem-solving skills. How to apply Please
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of existing digital resources • Photography, illustration and digital 2D and 3D images • Development of online interactive elements and animations • Consultation and advice on the creation of digital media
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basic and advanced light microscopy imaging. The Senior Microscopist will also develop application protocols to ensure quality use of instrument data and provide expertise and advice in sample preparation