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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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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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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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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
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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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response incentive arrangements with the national electricity market (NEM). Currently cost recovery for regulation frequency services is based on the causer pays process, which allocates the cost of sourcing
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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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the diverse range of knowledge and skills of CaLD customers and employees. This project aims to use social identity theory and role theory to develop a comprehensive conceptual model for the process by which
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at conferences is desirable. Application process Future student, please contact us via the EOI form and please include the following information A cover letter (max. 1 page), a CV (max. 2-3 pages, including