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Group (HSRG) situated in the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) at Curtin University, which is equipped with an array of world-class research equipment and
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of outcomes by November 2024. Scholarship Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility criteria Outstanding Computer Science or Engineering student Knowledge of data
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research program (First class), or a Masters programme with a research component (First class equivalent), or a Masters degree by research Essential: Strong grounding in a field relevant to the project
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of Health Sciences Faculty of Science & Engineering Science courses Engineering courses Western Australian School of Mines (WASM) Course type Higher Degree by Research Citizenship Australian Citizen
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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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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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Faculty of Science & Engineering Science courses Course type Higher Degree by Research Citizenship Australian Citizen Australian Permanent Resident New Zealand Citizen International Student Scholarship base
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of Humanities Faculty of Science & Engineering Science courses Engineering courses Western Australian School of Mines (WASM) Course type Higher Degree by Research Citizenship Australian Citizen Australian
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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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available positions are filled. Student type Current Students Future Students Faculties and centres Faculty of Science & Engineering Science courses Engineering courses Western Australian School of Mines