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degree in a full-time capacity prior to the application deadline (11:59pm AEST, 30 September, 2025) be studying a PhD in the area of road safety for children and/or active transport. If successful, you
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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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affect surface outcomes, benchmark against conventional techniques, and evaluate performance of the finished components. You’ll also delve into intelligent automation and machine learning to optimise
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external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning
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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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proactive measures such as developing resilience towards cyberbullying. On the other hand, since cyber-bullying occurs in the context of a relationship between a perpetrator and the victim, there must be
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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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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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. Specific projects seeking applications are: Accelerating the discovery of inorganic solar-cell materials via a closed-loop, fully robotic synthesis–characterisation platform driven by multi-agent machine
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vascular access use in acute and critical care can be optimised to improve patient safety, experience, and health system outcomes. Vascular access is central to patient care in modern medicine, yet remains a