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Status: Closed Applications open: 14/02/2025 Applications close: 30/06/2025 View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
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applicants notified of outcomes by November 2024. Scholarship Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility criteria The project is ideally suited for a PhD
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. Scholarship Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility criteria We are looking for a self-motivated PhD candidate with excellent organisation, problem-solving and
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systems and uncover insights that can be applied to design more robust and interpretable deep learning systems. Aims This project is designed to unravel the intricate learning dynamics and the nature
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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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learning architecture for real-time underwater acoustic communication: State-of-the-art deep learning is not practical to be embedded with limited resources in real-time, since deep learning is cumbersome
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6.0; or TOEFL, internet based Overall 79, Reading 13, Listening 13, Speaking 18 and Writing 21) is provided at https://study.curtin.edu.au/applying/english-language-requirements/accepted-english
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an area of particular concern with reports of most residents (86%) dispensed an antibiotic at least once. Patients in RACHs are more susceptible to infections than their counterparts living in
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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
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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