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                Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects at the Centre for Augmented Reasoning 
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                software used to test and evaluate telescope performance during commissioning. The position will also require a strong commitment to developing an innovative research program in high-energy gamma-ray 
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                NEMS, Computational mechanics, Structural health monitoring, Multifunctional and adaptive structures. Biomechanics and Biomedical Engineering: Prosthetics and medical devices, Biomechanical materials and 
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                prevention. The successful candidate will join the Wildlife Crime Research Hub and work as part of the ARC Industry Laureate Fellowship program, Combatting Wildlife Crime and Preventing Environmental Harm 
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                government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial 
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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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                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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                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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                - 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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                . 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