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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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. 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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reliable. This project will be supported by a robust infrastructure and an intellectually stimulating environment within our machine learning group. The PhD student will be supervised by two highly
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. Through application of a representative learning design framework this project will explore how representative are the training activities undertaken in different in game phase (set play / offensive
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tax-free stipend of $51,535 for your living expenses. Work at a world top-100 ranked engineering school and one of the world’s leading Safety Specialists in Seatbelt and Occupant Restraint design, APV
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Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the standard stipend. Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the...
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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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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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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher
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clinical stakeholders and system engineers. This research does not centre on the hardware design but on the technologies and systems that support its use, including AI, embedded interfaces, and mixed-reality