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. This will deliver an accurate model of inductively heated polymer melt-flow processing in larger scale systems. A short horizon to very significant impact is likely. An expanded understanding of these very
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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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. It helps oil and gas infrastructure defect detection and process reliability monitoring which are underwater. Scientific ocean research: Ocean has rich sources for energy and minerals. Ocean
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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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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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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
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The aim of this project is to describe ion conduction and activation/inactivation processes by employing molecular dynamics and statistical mechanical methods. The expected outcome is an improved
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modelling of atomic collision processes. Student type Future Students Faculties and centres Faculty of Science & Engineering Science courses Course type Higher Degree by Research Citizenship Australian
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training in research methods, publishing, grant writing, and career planning. How to Apply This is a two-stage application process: Initial Screening and Interview Interested applicants should email the
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membrane fuel cells, batteries, and other renewable energies, PCFCs offer distinct advantages, including fuel flexibility, the absence of precious catalysts, noise-free operation, and no regional/seasonal