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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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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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The primary objective is the development of computational methods and experimental techniques to investigate failure modes and quantify defects and damage in fibre reinforced hybrid composites used
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This scholarship aims to develop practical methods for optimisaton in large supply chain operations. Ideally candidates should have strong AI, machine learning, and optimisation backgrounds
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The scholarship will fund a 3 year PhD candidature to work in the Chemistry Department of the School of Science CAMIC Laboratory. The project is a collaboration with Assoc. Prof Ravi Shukla to test
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enrolment requirement. Open to Domestic and International Students. Standard RMIT PhD enrolment requirement. Open to Domestic and International Students. All applicants should email the following to Prof
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Resume and Application letter to Prof. Asgar Farahnaky: asgar.farahnaky@rmit.edu.au High quality applicants with relevant background to email their Resume and Application letter to Prof. Asgar Farahnaky