35 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Queensland University of Technology
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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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
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Application dates Applications close15 July 2026 What you'll receive You'll receive a stipend of $37,010 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration
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What you'll receive The CSIRO Industry PhD Program (iPhD) is a four-year research training program, aimed to produce the next generation of innovation leaders with the skills to work at the
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Application dates Applications close30 September 2026 What you'll receive You'll receive a stipend of $41,555 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD (1.75 years
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placements (honours, master degree, PhDs) and create a community of students who will learn together as they tackle these research challenges. More information including available projects and how to apply
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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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Application dates Applications close31 July 2026 What you'll receive You'll receive a stipend scholarship of $37,010 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The
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Application dates Applications close30 April 2026 What you'll receive You'll receive a stipend of $51,010 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration
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What you'll receive The CSIRO Industry PhD Program (iPhD) is a four-year research training program, focusing on applied research that benefits industry by solving real-world challenges. It aims