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component provided by the industry partner a professional development training program. A tuition fee scholarship for four years. Scholarships also include up to $1,500 relocation allowance. Supervisor: Prof
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at $10,000 as a one-off research allowance. Eligibility To apply for the scholarships, you must be: a current research student at an Australian university, enrolled either full-time or part-time in a research
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eligible applicants must: • have completed an Honours Degree with First Class or 2A Honours, or equivalent level, or a Master's degree with a significant research component; • have applied, or currently
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
an important part of an ARC-funded project Mapping Australian Homemade, Amateur & Do-it-Yourself Cultural Economies conducted by Professor Paul Long, Dr. Delvin Varghese, Associate Professor Shane Homan, Dr Ali
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impact in translational fields, which often aim to use generative AI in a responsible way. This PhD project is part of a larger cohort of projects in the Monash AI Institute, a recently expanded program
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experience in the below key accountabilities: Comfortable working both independently and as part of a team, and enjoy collaborating with others. Strong problem-solving and organizational skills, with
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. Eligibility You need to meet the entry requirements for a QUT Doctor of Philosophy including any English language requirements. Enrol as a full‑time, internal student (unless approval for part-time and/or
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EVs, underscoring a critical need for reimagined roadside safety solutions. This PhD scholarship is part of a larger, multi-stream research project in collaboration with KSI Global Australia
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This full-time, 3.5 year PhD scholarship is funded by the Faculty of Arts, Business, Law and Economics at the University of Adelaide as part of an Australian Research Council Discovery grant
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affect surface outcomes, benchmark against conventional techniques, and evaluate performance of the finished components. You’ll also delve into intelligent automation and machine learning to optimise