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roles in both Australia and Hong Kong. In a parallel sporting career, Chris was also a two-time Olympian in 1976 and 1980 and the Head Coach of the Australian Track and Field Team at the Sydney Olympic
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technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly
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information on our practice-based PhD program, please see: https://sensilab.monash.edu/work-with-us/practice-based-phd/
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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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development — core technologies for the next decade of AI-powered engineering. This is a collaborative research project with Atlassian. Check out some recent work: - https://www.atlassian.com/software/rovo-dev
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provide multiple competitive scholarships funded by a national elite HDR training program: Data61 Next Generation Graduate (https://www.csiro.au/en/work-with-us/funding-programs/programs/next-generation
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, Farshid, Global Temperatures and Greenhouse Gases: A Common Features Approach (September 30, 2019). Available at SSRN: https://ssrn.com/abstract=3461418 or http://dx.doi.org/10.2139/ssrn.3461418 Fitzgibbon
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, p226, p227] http://dx.doi.org./10.1007/3-540-61863-5_48 Gioacchino, F. D. & Fonseca, J. Q. da. An experimental study of the polycrystalline plasticity of austenitic stainless steel. Int J Plasticity 74
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This project draws on a recent Dagstuhl Seminar (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18322) that brought together leading experts from industry and academia, including those who