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. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical
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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
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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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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. This position will work with our partners Praetorian Aeronautics and their testing team
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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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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(HEO7) $101,785 - $113,839 per annum plus an employer contribution of 17% superannuation applies. Full time, fixed term position available for 12 months. Build strategic and proactive partnerships with academics and higher degree students to deliver library support for the University’s research...
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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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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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conducts field surveys and sampling across a national network of over 900 one-hectare plots, to collect soil and vegetation specimens and data. The TERN Ecosystem Surveillance field program enables