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Transform the Future with AI - Apply for the RAIR Centre Scholarship An extraordinary opportunity awaits at the cutting edge of artificial intelligence research. The Responsible AI Centre Scholarship opens doors to groundbreaking research that will shape how AI impacts society. Based at the...
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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. These include mathematical analysis, numerical simulations, computational and data science approaches, natural language processing, etc. Depending on the specific findings, research outputs are targeted
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- from enrolment through to the awarding of the degree - in line with Program Rules, established guidelines, and procedures. The Adelaide Graduate Research School (AGRS) sits within the Division
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experience in machine learning research and development, particularly with a specialisation in such areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural
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to interpret and explain complex documentation, such as grant guidelines, award conditions and contracts. Demonstrated high-level competence of standard office computer software and the ability to adapt quickly
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to detail, sound judgement, initiative and confidentiality. Advanced computer skills using the Microsoft Office Suite of products, particularly Excel. The path to Adelaide University We are on an exciting
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to contribute to continuous improvement initiatives by identifying service enhancements and assisting with program and procedure development project support, events, and broader University initiatives to ensure
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further enhance its delivery of South Australia’s leading medical program. A world leader in health education and research and continues to transform the future through world-leading health and medical
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and fertiliser. The incumbent will be involved extensively in the AgriFutures Program of Research on “Insects for food, feed and fertilisers”, including running various experiments and performing data