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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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prestigious Group of Eight, Monash is a powerhouse of research innovation. Its Department of Materials Science and Engineering ranks second nationally, driving breakthroughs in advanced materials, polymer
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for domestic and international applicants, subject to Monash eligibility and competitive selection. Monash Engineering is a leading global centre for research consistently placing highly in international ranking
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, humanities and social sciences Need help understanding the process? Visit our scholarship guide Application How to apply You must submit an application and include your research proposal and an outline for a
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and Evidence-to-Decision frameworks · Use and evaluation of digital guideline platforms (MAGICapp) · Implementation science and knowledge translation in rheumatology
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for infrastructure platforms in minerals-to-green metals transformation. It will suit a candidate interested in combining experimental materials science, advanced characterisation, and data-driven modelling to develop
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brain tissue samples. Developing and managing REDCap databases, ensuring clinical data quality, integrity and compliance requirements are maintained. Preparing, submitting and managing complex human
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infrastructure, public safety and smart environments. The successful candidate will be supervised by Dr Deval Mehta within the Department of Data Science & AI, Faculty of Information Technology, Monash University
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Indo-Pacific region. The MAI is a premier hub for AI and data science research in the Asia-Pacific, focused on advancing AI for real-world impact. It brings together experts from computer science
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circulation, chemistry, and potential habitability of water worlds. Water worlds represent an exciting frontier in astronomy, having long been theorised to bridge the gap between rocky planets and larger ice