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educator with a PhD in Science or Mathematics Education, bringing expertise in teaching and research across the primary and middle years of schooling. With a passion for curriculum innovation and student
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Engineering, etc.), expertise in cutting-edge AI and machine learning is essential; while structure prediction or materials chemistry experience would be advantageous, it is not a pre-requisite for the role
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methods for provable network security. The School of Computer and Mathematical Sciences is recruiting a research fellow to work on next generation network security technologies. Join a world-class research
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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
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pioneering PhD project in partnership with ANCA, a world leader in CNC grinding machines and motion control systems. Supported by the prestigious Growth SUPRA PhD Scholarship, you'll join a dynamic research
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to assist in the delivery of research and monitoring projects across Northern Australia. The successful applicant will work closely with Traditional Owners. What you can bring to the role Possess either a PhD
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, cluster randomised controlled trials implementation science, data linkage, data science, machine learning and artificial intelligence. In this role, you will have the opportunity to engage in a series of
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of their candidature, including commencement, research progress reviews, confirmation (for PhD candidates), candidature variations, thesis preparation, submission and all aspects of the examination process. The Senior
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, Machine Learning, and Big Data Analysis To Apply We encourage all candidates who meet the selection criteria to apply for this role. Please submit: A current CV A cover letter specifying whether you are
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collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in