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, biology, engineering, machine learning / data science, coding. How to apply: This is an Expression of Interest process. To express your interest in applying, candidates must supply the following information
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study stage Future study Benefit duration One or more years Summary The Social Equity in Engineering and Information Technology Scholarship Program aims to develop a cohort of future Australian research
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/admissions/entry-requirements/minimum . Candidate Requirements Undergraduate honours degree or Master's by research degree in a relevant discipline (Computer Science, Robotics, Engineering or others related
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knowledge of health economics, but this is not a requirement as training will be available throughout the PhD program. Stipend: The scholarship will be for 3.5 years and has a stipend of $35,300 (indexed
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(Department of Data Science and AI in the Faculty of Information Technology) and Associate Professor Susan Wei (Department of Econometrics and Business Statistics in the Faculty of Business and Economics
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Professor Kristian Rotaru (Department of Accounting, Monash Business School; Deputy Director, Opportunity Tech Lab) Dr Mor Vered (Department of Data Science & AI, Faculty of IT) Dr Estelle Wallingford
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | about 7 hours ago
26 Aug 2025 Job Information Organisation/Company AI & Cyber Futures Institute - Charles Sturt University Research Field Agricultural sciences Biological sciences Researcher Profile Recognised
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. You will also receive either: an Australian Government Research Training Program (RTP) fees offset a QUT research degree (HDR) tuition fee scholarship. As the scholarship recipient, you will have the
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; Education; Engineering; Environment; Health; Information technology and computer science; Law; Music, visual and performing arts; Science Need help understanding the process? Visit our scholarship guide
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. The PhD project will contribute to the implementation science and evaluation components of this program, which is grounded in principles of Indigenous data sovereignty, self-determination, and health equity