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group has implemented state-of-the-art deep learning for underwater communications; deep learning models underwater environment based on real data. Our preliminary study shows that state-of-the-art deep
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to frailty assessment could be beneficial. Manual measurements from CT scans, however, are labor-intensive and subject to observer variability. The advent of deep learning in medical imaging presents a
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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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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: 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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well as children. To identify the specific mechanisms through which multisensory stimulation enhances motor learning, working memory, and auditory selective attention. To compare the effectiveness of different
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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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structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply
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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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stigma and do not reify differences. Failing to apply what we have learned from this approach risks us failing to achieve virtual elimination for all. Aims This research project aims to identify pathways