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children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
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are molecules that exist in two forms, referred to as enantiomers, each being a mirrored image of the other. Different enantiomers share the same physical properties, but often have starkly different biological
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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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management skills. Candidates with laboratory skills and imaging are desired for this project. Must be eligible to enrol in PhD programs at Curtin. Application process Please send your CV, academic transcripts
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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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on the fate of black holes in our Galaxy. Objectives To gain a full picture of the black hole population in our Galaxy, we aim to combine novel theoretical simulations of black holes with data from nascent
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the potential to change the world. There are up to six prestigious Scholarships in 2025 for outstanding researchers from around the world to conduct paradigm-shifting research based at any of Western Australia’s
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, the aim of this project is to develop and validate an experimental paradigm that can describe the dynamic processes underlying C2 agility and to characterise the situational factors by which C2 agility can
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vehicles capture videos or images for underwater pipes for inspection purposes. However, highly blurry or poor-quality videos can only be received under noisy environment. Therefore, developing accurate