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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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on mechanical and physical separation methods for efficient recovery of active materials and components from spent LFP cells as well as development of hydrothermal relithiation processes to restore
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) Atomistic classical simulations of macromolecules (v) Biophysics. You can write computer codes to solve some of the daily research problems and have experience with high performance computing. You should have
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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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. 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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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