284 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Australia
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supported by an ARC Industry Fellowship, in partnership with Bush Heritage Australia. The student will work closely with ecologists and computer scientists at QUT and conservation managers at Bush Heritage
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experienced supervisors, each with over 20 years of expertise in machine learning and computer vision. These supervisors have strong track records of research excellence, with numerous publications in top-tier
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PhD Scholarship Co-designing and developing health promotion programs for neurological populations You will work with an international team of collaborative researchers led by MS Australia Fellow
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PhD Scholarship – Patient Reported Outcomes To Improve Proactive & Patient-Centred Care for Heart Failure Patients Job No.: 675730 Location: Victorian Heart Institute Employment Type: Full-time
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aims to explore who takes physics and astrophysics major units, why they pursue them, and what obstacles they may face. There are a number of research questions under this umbrella. Computational
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My research explores ways to determine the atomic architecture of materials so we can understand and manipulate a material’s behaviour. At the atomic level, amazing and beautiful quantum phenomena can occur that are very different to the macroscopic world. Our group develops methods to measure...
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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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The Adelaide Graduate Research School (AGRS) and Hubble are partnering to create 2 remote internship opportunities for University of Adelaide PhD students, to contribute to various projects. Hubble
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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I supervise a wide range of PhD projects on experimental research into the electronic properties of novel quantum materials including topological insulators, graphene, and other atomically thin two