285 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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Nations knowledge and perspectives are central to this transformation. The program supports First Nations people to work towards an MPhil or PhD degree, preparing them to become leaders in clean energy and
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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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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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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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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