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Intelligence and Machine Learning Research Project B in Trimester 1, 2026 Master of Data Science MATHS 7097A - Data Science Research Project Part A in Trimester 3, 2025 AND MATHS 7097B - Data Science Research
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maximum of 2 years (based on a full-time study load of 75-100 credits per semester); OR A cash stipend of $2,812.50 per semester for up to a maximum of 4 years (base on a part-time study load of 50 credits
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primal in sufficient detail to evaluate yield and speed performances, as well as other factors that influence efficiency, to optimize them. The research can potentially draw on previous studies in
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to a PhD after one year and successfully obtained an alternative funding source, as indicated above). As the scholarship recipient, you will have the opportunity to work with a team of leading myopia
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will advance the technology by scaling up the HPCS production and the filtration process to facilitate its future implementations. The project activities include formulating and fabricating functional
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview This project proposes the development of low-carbon concrete using carbon dioxide-sequestrated incinerator bottom ash...
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business leader, appointed by the Brisbane Lord Mayor's Office. Eligibility You must: be living in the Brisbane City Council local government region be from a culturally and linguistically diverse (migrant
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an equivalent level of academic attainment, taking into account previous study, relevant work experience, research publications and other research experience Are able to take receipt of a scholarship for a
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, smart cities, sustainable energy infrastructure, precision agriculture and more. Be a part of this exciting future with our Artificial Intelligence scholarship which provides a 50% reduction in annual
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The scholarship is funded by McConnell Dowell, a leading construction contracting organisation with extensive experience in delivering complex construction projects. The project will examine the use