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project management skills. Candidates with strong skillset, including familiarity with structural health monitoring, computer vision and machine learning are desired for this project. Must be eligible
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reliable. This project will be supported by a robust infrastructure and an intellectually stimulating environment within our machine learning group. The PhD student will be supervised by two highly
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of the centre/team/facility Build new and/or improve existing research-focused engineering technologies, systems, prototypes, machines and/or processes Perform other duties as reasonably directed by the Research
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laboratory. Fortnightly seminars are run throughout the program, facilitated at University College. Learn more about University College Questions about the accommodation and facilities provided through
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one or more of the following areas: complex quantum processes, quantum error corrections, tensor networks, optimisation and machine learning, and developing software infrastructure Some experience in
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Australia (BSc Data Science [Honours] Classifying Successful Patterns of Play in Field Hockey) and a Data Science PhD with the Fremantle Football Club (Sam Moffatt: Understanding Complexity: A machine
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catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon our groundbreaking research into the problem . Required knowledge A solid grounding in machine learning
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This PhD project aims to mitigate the data scarcity of new NLP and Multimodal applications by developing novel active learning algorithms. In this project, the student will leverage large foundation
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knowledge and transforming lives by way of leading-edge teaching, learning, and research activities, spanning a broad range of disciplines. The University is currently inviting applications from suitably
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Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic