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team tackling major challenges facing the world’s population in global sustainability and wellbeing as part of the QUEX Institute. The joint PhD programme provides a fantastic opportunity for the most
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computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art
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OHTs work in residential aged care facilities in WA. This project will utilise an exploratory research design using qualitative and quantitative research methods (interviews, focus groups and surveys
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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Successful candidates will be expected to have a solid background in finance and sustainable finance, research methods, strong data analytic skills, and experience working with large datasets. RMIT
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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
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This PhD scholarship is for candidates interested in developing culturally inclusive AI by creating methods and datasets to align large language models with global social and legal norms. This PhD
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plug ins, using mixed research methods to understand user experience, and engaging with the disability community to understand their perspectives toward social aspects of video games. This research seeks
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between aged care residents, families, and healthcare providers. Using qualitative and participatory research methods, this project will develop best-practice guidelines and policy recommendations to ensure
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, pragmatic, interdisciplinary research opportunity to undertake either a qualitative or mixed-methods study. It will require an ability to work in a culturally sensitive way with Aboriginal and Torres Strait