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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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lamb roast or steak. Over the next 2 years, we will install this device in 6 commercial meat processing plants across Australia and demonstrate its impact in the Australian industry. Come and join our
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Proficiency in Microsoft Office and Excell Proven excellent attention to detail and computer and data acquisition competency. Strong ability to prioritize tasks, follow instructions, and use initiative to solve
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. The faculty is responsible for teaching and research across wide range of disciplines including Engineering, Computer and Mathematical Sciences, Architecture, Biology, Physics, Chemistry and Earth Sciences
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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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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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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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selection criteria below: (If no links appear, try viewing on another device) We are an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity
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website management. Experience in organising and managing events Strong communication skills including verbal, written and report writing skills. Well-developed computer skills including intermediate
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Hospital P: +61 (8) 8313 1707 E: sarah.nixon@adelaide.edu.au You'll find a full position description and/or selection criteria below: (If no links appear, try viewing on another device) We are an Equal