119 computer-science "Northumbria University" scholarships at Queensland University of Technology
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computer interaction and an honours degree or equivalent. How to apply Application closing dates vary: international applications close 31 July 2024 domestic applications close 31 August 2024. Apply
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resulted in many models of limited effectiveness. This project proses to take a Systems Architecture and Systems Engineering approach to neuropathic pain. Systems Architecture and Engineering is used
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innovative research in a QUT - Doctor of Philosophy (hosted by Faculty of Science). Eligibility You must: meet QUT’s academic and English language entry requirements found on the QUT - how to apply page
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Electrical Engineering top-up scholarship of up to $25,000. The scholarship is paid on a fortnightly basis, and is tax exempt for full-time students. The scholarship can be used to support living costs. In
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) at the full-time rate. an Australian Government Research Training Program (RTP) Fees Offset. You can also apply for: a $1,520 interstate relocation allowance a $420 (masters by research), or $840 (PhD) thesis
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What you'll receive The CSIRO Industry PhD Program (iPhD) aims to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia
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What you'll receive 15 available scholarships include: scholarships valued at $7,500 paid over three years for an eligible bachelor's degree in the Faculty of Science scholarships valued at $10,000
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What you'll receive 3 available scholarships available are: valued at $7,500 paid over three years for an eligible bachelor degree in the Faculty of Science. Faculty of Science Undergraduate
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experiencing financial hardship enrolled in or applying for one of the following: Bachelor of Science Bachelor of Science/Bachelor of Mathematics Bachelor of Science/Bachelor of Information Technology Bachelor
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July 2025 have a master’s degree in data science, computer science, operational research, transport engineering, or related discipline have a strong background in data science, machine learning