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of generative AI. Essential Skills and Experience A background in a relevant field such as behavioural science, cognitive science, data science, psychology, human-computer interaction, law, or a related
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University under the supervision of Professor Tim Dwyer at Monash University, Australia’s leading computer graphics researcher. Please note that this opportunity is limited to applicants who are legally
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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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engineering coupled with a master’s degree and/or job experience in the relevant topic. A track record of publications and relevant software skills would be a plus point. The ideal candidate will have a
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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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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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. 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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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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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