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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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‑edge imaging research. In this hands‑on specialist role, you’ll operate, maintain and optimise our advanced optical, fluorescence and confocal systems while delivering high‑quality research support, user
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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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 Australian Imaging Service (AIS) is partnering with the National Imaging Facility to create trusted and cutting edge Foundational Digital Research Infrastructure to transform how Australia does biomedical
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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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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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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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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processes associated with securing and facilitating student placement across teacher education courses. This position will have autonomy to make decisions related to work tasks as part of a Professional