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possible shift (temporal and spatial) in rainfall patterns across the MLR (climate change/water) Explore various River Murray hydrological, hydraulic modelling questions (River Murray/water) Review economic
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gas is a crucial aspect of the ongoing energy transition, serving as a renewable energy source for industrial processes and a substitute for fossil fuels. Australia, with abundant and cost-effective
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that includes any publications/awards, experience relevant to the project and the contact details for 2 referees PV’s monitoring process can be done intelligently thanks to drone. Remotely operated
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The application for PhD admission will only be assessed where the applicant is successful in being awarded the scholarship The applications for HDR admission and the scholarship are separate processes; applications
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will help increase the material recovery rate in the LIB recycling process and reduce waste and carbon footprint in the battery value chain. By returning waste to battery manufacturing, the project will
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storage and greenhouse gas upgrading at reduced operation temperatures featuring high efficiency, selectivity, superior stability, and cost effectiveness. This project should provide significant benefits
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nominated on your application, you should proceed to the next step. Follow your faculty’s ‘how to apply’ process The process for applying for a PhD scholarship at Monash varies for each faculty, but in
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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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involves a competitive process, with shortlisted applicants notified of outcomes by November 2024. Scholarship Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility
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mentioning this scholarship, to express their interest and apply through the RMIT application process. Interested candidates who meet the eligibility criteria should contact the primary supervisor, Professor