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understanding of deep neural networks by exploring the human-understandable meanings of learnt features, the evolutionary dynamics of these features across network layers, and the architectural designs
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. The PhD candidate will be supervised by researchers at Curtin’s enAble Institute, School of Population Health, and the WACHS-Curtin Research and Innovation Alliance. The Alliance is embedded within the WA
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The ideal candidate for the PhD Higher Degree by Research (HDR) project must possess a varied and specialized array of capabilities and skills. An overview of the essential capabilities and skills needed
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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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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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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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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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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