149 phd-position-in-computer-vision positions at Queensland University of Technology in Australia
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-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near completion) have applied for admission to a PhD program at an Australian university or have completed
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Engineer (Robotics and Autonomous Systems) is skilled in both hardware and software robotic implementations. The role will involve designing and delivering systems in domains such as computer vision
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What you'll receive You'll receive a stipend scholarship of $32,500 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. This is the full-time, tax-free rate. If you're
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What you'll receive You will receive a living stipend scholarship of $33,637pa for a period of 3.5 years. This payment is indexed annually, and will be tax exempt for full-time students. In addition you will receive: a QUT Tuition Fee Sponsorship single Overseas Health Cover. You will have the...
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Application dates Applications close7 July 2025 What you'll receive For Master of Philosophy students, you'll receive: a top-up stipend scholarship of $10,000 in equal instalments. This is the full-time, tax-free rate first instalment paid after research proposal milestone is finalised second...
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to the United Nations sustainable development agenda. This position will play a role in developing and integrating research, teaching and engagement within the Disciplines, the School, the Faculty and the University as
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of Mechanical, Medical and Process Engineering, Faculty of Engineering. The Artificial Heart Frontiers Program (AHFP) is seeking a highly motivated Mechanical Engineer with a specialisation in Computational Fluid
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developing their program of complementary cancer research. We’re offering this role as a hybrid position as part of QUT’s commitment to embracing the opportunities created by a more virtual and connected world
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What you'll receive You will receive: a minimum of $30,000 per year, for 3 years a QUT tuition fee sponsorship (for international students). Eligibility You must: fulfil our PhD admission criteria
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply