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Status: Open Applications open: 4/04/2022 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information In many safety-critical workplaces
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interaction and human motion analysis Prior knowledge of machine learning/deep learning applied to motion analysis (e.g., relevant courses and research experience) would be an advantage IELTS score of 6.5
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. Through choreographed interactions with movement experts, this project expects to generate machine learning strategies to understand how people and robots can reliably and fluently move together. Expected
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Contribute directly to life-saving road safety improvements. Full-time, fixed term (3 years) position at our Hawthorn campus $34,700 per annum for three years Project Title: Sustainable and cost
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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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: Associate Professor Ankush Sharma (IITK) Smart grid is an interconnected cyber–physical system with advanced technologies of fast communication and intelligence, which however is prone to numerous
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models through specific activation functions. This project will be undertaken in collaboration with Dr Hemanth Saratchandran and Prof Simon Lucey of the Australian Institute for Machine Learning, and
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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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