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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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-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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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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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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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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qualifications in digital technologies, engineering, or equivalent experience; certifications (in Cloud Native Computing Foundation, Linux Foundation) highly regarded Collaboration & Communication: Strong ability
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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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Australia. It offers undergraduate programmes in Software Engineering, Computer Engineering, Computer Science, and Bioinformatics, as well as a number of combined degrees with other disciplines. Our research
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program, including supporting the delivery of careers events and maintenance of career's resources for current Science students partner with Student Clubs and Societies to enable them to successfully