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. Applications now open. Applications now open. Applications will close when the PhD candidate is selected. Applications will close when the PhD candidate is selected. This project will implement DRL technique
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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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-class or H1 honours degree in Computer Science, Engineering or equivalent in a related discipline. Applicants must satisfy RMIT University’s PhD entry requirements. Applicants must have a first-class or
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As a pregnancy approaches term (the point at which the foetus is considered fully developed), decisions are made about the timing of birth and the way babies are born. These decisions are incredibly challenging for clinicians and pregnant women. Digital health records, advances in big data,...
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PhD research on “Progressive Voices/Movements in Islamic Theology in the (Post-)Secular Society of 21st Century” The main purpose of this recommended research project is to promote the academic
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a PhD in Chemistry, Physics or Materials Science with a proven research track record and solid background enabling the study of completely new problems. The post is available until 30 September 2026
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funded 3.5 year PhD projects that will develop an innovative approach for enabling the discovery of natural hydrogen accumulations in continental interiors. Using the unique natural laboratory
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resident • meet university PhD admission and English language requirements • not have previously completed a PhD • not be in receipt of another primary scholarship • be able to commence the program in
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Status: Closed Applications open: 28/05/2025 Applications close: 27/06/2025 View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship supports a