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university research into commercial outcomes. Under this program, PhD students will gain unique skills to focus on impact-driven research. This Project aims to develop a predictive machine learning model
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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
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dementia may be exacerbated by cognitive decline, loss of memory, learning disabilities, attention deficits, and motor skills deterioration, which result in reduced ability of the care workers to perform
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. The candidate will work with a team of other PhD candidates studying at National Drug Research Institute and the Burnet Institute across a diverse range of topics. Candidature would be full time and analyses will
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Vision and Edge Computing'. PhD candidates involved in this project will be trained in the emerging field of smart infrastructure, which is critical for Australian society in the coming decade
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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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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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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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. 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