38 phd-position-for-fully-funded-reserch-in-computer-vision PhD positions at Queensland University of Technology in Australia
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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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PhD. The duration includes an extension of up to six months (PhD) if approved for your candidature. This is the full-time, tax exempt rate which will index annually. You will also receive an additional
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focus on collaborative interdisciplinary projects in cutting-edge areas of health law research. The two PhD positions are linked to an Australian Research Council Linkage Project , and you would work with
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Counselling to honour Aiden’s legacy by supporting a PHD candidate’s research into road safety for children and/or active transport. This scholarship is intended to provide supplementary funding to help advance
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PhD. The duration includes an extension of up to six months (PhD) if approved for your candidature. This is the full-time, tax exempt rate which will index annually. You will also receive a top-up to
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of Research Excellence in Paediatric Palliative Care. The PhD program involves the design and conduct of a Discrete Choice Experiment (DCE) to explore how consumers prioritise different elements of paediatric
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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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PhD. The duration includes an extension of up to six months (PhD) if approved for your candidature. This is the full-time, tax exempt rate which will index annually. If the PhD is undertaken part-time
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Application dates Applications close30 June 2025 What you'll receive You'll receive a stipend of $33,637 per annum for a maximum duration of 3 years while undertaking a QUT PhD. This is the full
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the future of academic writing and publishing project, funded by the Australian Research Council. The PhD project will be supervised by Associate Professor Michelle Riedlinger and Professor Peta