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-field imaging of dynamic processes" "Multi-scale X-ray speckle-based imaging" "Spectral X-ray speckle-based imaging" "Single-shot multi-projection X-ray phase-contrast imaging" "X-ray virtual histology
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maritime heritage] [Image changes to show four crew members standing on the deck of the Investigator next to a multi-corer and text appears: Studying ocean processes and productivity] [Image changes to show
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While deep learning has shown remarkable performance in medical imaging benchmarks, translating these results to real-world clinical deployment remains challenging. Models trained on data from one
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The project involves building and curating a comprehensive food image dataset suitable for mobile AI applications. High-accuracy deep learning models will be trained on this dataset and then
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; wireless sensor networks; green communications; next generation wireless broadband networks; signal processing and acoustics; digital image processing; structural health monitoring and underwater
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Unique opportunity to support research within the University of Sydney’s National Imaging Facility (NIF) node Base Salary $126,025 - $154,260 (HEO8/9) + 17% superannuation About the opportunity Sydney
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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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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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random but can only happen along particular directions. However, as the material is made up of many crystals, and they all have different orientations, the deformation process of a polycrystalline material
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include: 1. Identify a novel co-design methodology along with the structural templates that could be used to drive the further design process of collocated teamwork analytics with critical educational