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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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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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. 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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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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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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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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, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or anthropological focus on the use of bespoke and/or
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the University Security team. Respect education (staff) Build capability and confidence to call out and respond to sexual misconduct in our community. MySafety Learn about healthy relationships and sexual
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to supplement a scholarship. Learn more about Mark Govier and why he created this scholarship
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of the scholarship) on top of the current full-time rate for a Monash RTP stipend. Be inspired, every day Drive your own learning at one of the world’s top 80 universities Take your career in exciting, rewarding