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supervision. We operate with a commitment to high standards of care and student learning, providing the latest technology, including advanced imaging equipment like CT, endoscopy, arthroscopy, and invasive
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emerging and future civil engineering practices. Experience or interest in data analytics, machine learning, and digital mapping would be beneficial in supporting our vision. This is an excellent opportunity
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Research Collection. The Scholar will conduct computer-based mapping of the osteocyte lacunocanalicular network within bone from young and aged bone imaged by confocal laser scanning microscopy. The
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models for structural health monitoring of civil engineering structures. Digital twin models are used to interpret real time information from videos and images aided by computer vision techniques
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experienced supervisors, each with over 20 years of expertise in machine learning and computer vision. These supervisors have strong track records of research excellence, with numerous publications in top-tier
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Areas covered include wireless communications; intelligent monitoring and surveillance for natural and industrial environments; intelligent embedded systems; decision making and machine learning
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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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for monitoring and controlling the brain with medical devices and imaging brain activity in new and important ways. Required knowledge Statistical signal processing, Statistical Inference, Machine learning, Deep
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world, and with world-class photonic facilities at Monash. "Quantum nanophotonic chip" "Multimode imaging through ultrathin meta-optics" "Advancing optical imaging with flat optics" "Machine-learning
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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find