38 algorithm-development-"Multiple"-"Prof"-"Prof" scholarships at Queensland University of Technology
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considered in the current models. whether there are common points in multiple models. This will identify potentially critical points for new models. identify upstream and downstream points not previously
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. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot
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-developed knowledge of Australian media and culture. Demonstrate excellent capacity and potential for research. You must develop a research proposal that responds to and aligns with the scholarship topic and
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aggregate score based on best 4 subjects across Core and category A or C electives, excluding Citizenship and Social Development, where 2 is the minimum accepted grade Qualification Minimum requirement All
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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
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courses. Browse all courses Take your development further with advanced learning and award pathways. Pathways to Politics for Women Public Sector Management Enterprise Leadership For organisations Achieve
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Research Training Program (RTP) Fee-Offset a four-year project expense and development package of $13,000 per annum a three-month industry engagement component with Xcel Sodium a structured professional
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, the student will have the opportunity to contribute to the development of novel biocontrol tools for the control of medically important mosquitoes in Australia. The project will suit candidates with interests
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strategy, campaign development) creative (concept development, copywriting) production (pre-production, filming, editing) studio (design, art execution) Edison (performance marketing for small businesses
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effort, or the amount of information a player takes on board before making a decision is challenging. Can we develop AI solutions to track off-ball effort? Can we monitor how players scan the field? Can we