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Creative arts Design Engineering English language and pathway programs Health Information technology and games Justice Languages Law Mathematics and data science Science Teaching Explore Mid-year entry QUT
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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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interests and educational background a CV your degree certificate or equivalent your English results, and other documents you wish to be considered (grade transcripts, contact information for your references
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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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national science agency, CSIRO, will fund a $1.2 million scholarship program at Queensland University of Technology (QUT) to train the next generation of aspiring Australian roboticists. The Alberto Elfes
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training program to develop your applied research skills. Successful students are subject to the policies, procedures and guidelines of QUT in addition to the CSIRO Industry PhD Program terms and conditions
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-year research project on generative AI and academic research develop a research proposal that responds to and aligns with the scholarship topic and articulates the contribution your research will make
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significant challenges. Your project will aim to solve these coupled chemo-mechanical problems through in situ characterisation and advanced modelling technologies. The expected outcomes will help develop next
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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