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the Asia Pacific region. It will also contribute to MCASI’s vision to encourage creative and critical reflection while engaging with relevant industries, by working closely with multiple stakeholders in
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Technology: The co-design and evaluation of new assistive technologies that address the real-world needs of people with disability. These might, for instance, utilise conversational agents, computer vision
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, computer science, computer vision, or a related domain (a background in medical imaging is advantageous) Proficiency in Python programming or familiarity with deep learning frameworks like PyTorch
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intelligence, Machine learning, and Computer vision for subsurface characterisation This project aims to develop computer vision applications for geological characterisation using state-of-the-art AI/ML methods
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . The Opportunity Gain experience working with industry to solve real-world problems while you earn your
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of people with disability. These might, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or
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conjunction with Curtin University, and supported by the Department of Mines, Industry Regulation and Safety (DMIRS) and industry. This PhD candidate based at Curtin University will develop vision-based
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team of collaborators and stakeholders with expertise in biomechanics, spatial and speech sciences, computer vision, machine learning, and clinical experience in the diagnosis/management of Speech Sound
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video as it does not require wearing a device and remebering to charge it and so on. But computer vision-based falls detection in the elderly can be problematic due to false privacy concerns, cost, and
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AI models including computer vision will be complemented by some experiment conduct experiences. The applicant must be eligible to enrol in PhD program at Curtin University, and physically present in