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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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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
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candidate willing to learn new skills and undertake statistical analyses using a variety of datasets. People within Australia with a relevant Honours or Masters (e.g Public Health, Biostatistics, Epidemiology
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. If left unacknowledged or untreated this can lead to stress, anxiety, depression, or post-traumatic stress disorder among healthcare workers. Clinical debriefing enhances team-based learning and effective
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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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also need to be comfortable with online video software, and to learn and deliver the 4Ds with close supervision, review its empirical foundations, and understand and apply its theoretical principles
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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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project management skills. Candidates with strong skillset, including familiarity with structural health monitoring, computer vision and machine learning are desired for this project. Must be eligible
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Status: Open 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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peer-based programs across the four streams. Training sessions using experiential learning techniques will be provided to program staff and community members. Data collection methods will include pre