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Background Scholarship code: IND-25122 Expressions of interest - open until filled. This is an industry-linked PhD scholarship. This scholarship is created by La Trobe University in collaboration
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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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faced by real people and creating a lasting impact. Join us and help to create a world that is more inclusive and equitable. If you are interested in undertaking a PhD with MATS and you meet the criteria
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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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+ $5,000pa as living allowance stipend or project expenses, tuition fees. Duration: 3.5 years for PhD, 2 years for MPhil Exclusions: Overseas health cover, relocation expenses, Student Services and Amenities
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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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which includes Doctor of Philosophy (PhD) from the Faculty of Medicine, Dentistry & Health Sciences. Selection criteria Successful applicants will have made a significant contribution to Obstetrics
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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
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the application for this scholarship The application for PhD admission will only be assessed where: The applicant is successful in being awarded the scholarship Before applying for the scholarship, prospective
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Status: Closed Applications open: 14/10/2024 Applications close: 30/11/2024 View printable version [.pdf] About this scholarship Description/Applicant information This PhD Scholarship is funded