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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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expertise in research methodology or willingness to learn. Well-developed computer skills. Application process Expressions of interest are invited to be submitted electronically to Professor Judith Finn via
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Status: Open Applications open: 11/09/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Learn more about Curtin HDR
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factors involved in the onset and progression of dementia. Advanced computational methods, including bioinformatics pipelines and machine learning, will be employed to uncover putative biomarkers and
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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skilled human operators must acquire and integrate information from multiple distributed sources (e.g., physical and informational environments) to coordinate cognitively (e.g., decision-making) and
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. The specific research areas we will explore are + Adaptive scientific deep learning methods for mathematical physics problems governed by partial differential equations (domain decomposition, adaptive quadrature
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Status: Closed Applications open: 1/07/2025 Applications close: 18/08/2025 View printable version [.pdf] About this scholarship Description/Applicant information Learn more about Curtin PhD projects
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communication skills Strong project management skills Strong appetite to learn new skills and technology Work experience in industry (highly regarded but not necessary) Provide a commitment to completing an