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the project’s chief investigators (Professors Ben White and Lindy Willmott, and Dr Rachel Feeney) and collaborate with the project's seven partner organisations (state health departments and VAD Boards
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The Monash Assistive Technology and Society (MATS) Centre helps people living with disabilities to lead self-directed lives. Emerging assistive technologies have the potential to break down many
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These scholarships are funded by the Australian Research Council (3) and the University of Adelaide (1) to support 4 full-time PhD students who are undertaking research in the field of battery recycling: Project 1 (2 PhD students): Cost-Efficient Direct Recycling for Metal Oxide Cathode...
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to be tax exempt, subject to Taxation Office approval. Enquiries: Contacts: Associate Professor Jianfeng Mao and Dr Jingxiu Wang School of Chemical Engineering / Discipline of Materials Engineering
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disease research and/or clinical practice. How to apply The first step is to email Associate Professor Peter Lazzarini detailing your academic and research background, your motivation to research in
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, subject to Taxation Office approval. Enquiries: Contact Person: Associate Professor Luke Mosley School/Discipline of: Agriculture, Food and Wine Tel: (08) 8313 5453 Email: luke.mosley
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Office approval. Enquiries: Contact Person: Associate Professor Luke Mosley School/Discipline of: Agriculture, Food and Wine Tel: (08) 8313 5453 Email: luke.mosley@adelaide.edu.au Applications
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English language requirements. Completion of a bachelor (honours) degree or master degree by research in: civil engineering geotechnical engineering petroleum engineering mechanical engineering applied mathematics
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This scholarship is supported through the Australian Research Council (ARC) Discovery Project, DP250103137 - Moving with Robots. It is led by Professor John McCormick at Swinburne University of Technology in
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vibration characteristic identification. This project will investigate digital twins techniques aided by computer vision based measurement. Aims This project develops computer vision-assisted digital twin