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-consuming and costly. In recent years, computer vision techniques have shown promise in bridge displacement measurement and damage detection. Aims The overall aim of this project is to develop a cost
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candidate who: • Is eligible to enrol in PhD programs at Curtin University. • Holds at least a bachelor’s degree in a relevant field such as Robotics, Computer Science, Engineering (Electrical, Mechanical
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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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. This research builds on a program of work by CERIPH in partnership with community-controlled organisations and peer-based services in Western Australia across four distinct streams: Aboriginal and Torres Strait
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(pupillometry), emotional responses (facial expression analysis), and engagement (skin conductance and cardiac response) (Ohme et al., 2011). Aims By applying consumer biometrics, this research program will
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. The project will take advantage of recent theoretical (Gross, 2015) and measurement (Preece et al., 2018) advances from the affective science field to examine emotion regulation in ADHD more comprehensively
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on this initial research by PRECRU, this doctoral program will examine strategies for improving AED access in rural and remote WA, and for the majority (70%) of OHCAs that occur in private residences. In addition
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specialise in meeting the health needs of people who use drugs and people participating in Australia's Opioid Dependence Treatment Program. Student type Future Students Faculty Faculty of Health Sciences
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objectivity and consistency. Recent studies have highlighted the potential of computed tomography (CT) scans to provide objective markers of frailty. Metrics like Psoas Muscle Density (PMD) and Kidney to Body
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timely and impactful early interventions. The project is supported by the Kids Rehab WA integrated clinical-research program, including leading clinical researchers in the field of early detection and