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record in medical research and innovation. The project will benefit from access to advanced computing facilities and specialized software for deep learning model development and CT scan analysis
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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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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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of their difficulties. Discovery strategies typically involve writing or talking about their problems in a safe context. Aims This PhD aims to codesign a research study to establish initial evidence for the efficacy
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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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of a PhD in health or medical sciences and/or equivalent qualifications plus experience in conducting qualitative health research. Demonstrated experience in collecting qualitative interview/ focus group
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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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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: 14/10/2024 Applications close: 30/11/2024 View printable version [.pdf] About this scholarship Description/Applicant information This PhD Scholarship is funded
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deep learning. The purpose of this scholarship is to support a PhD student to contribute to the advancement of infrastructure monitoring technologies with strong industry collaboration. Student type