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to the design, analysis, optimisation, control, and full-scale testing of advanced wind turbine systems. Depending on your expertise, you will play a key role in either blade design, structural dynamics
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initiative developing the next generation of smart wind turbine blades. As part of the Australian Economic Accelerator Innovate project, this role will see you contribute to the design, analysis, optimisation
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, Lawrence Livermore National Laboratory, University of Virginia, University of Connecticut. They will be required to perform computational and theoretical analysis using a range of techniques, as
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computational and theoretical analysis using a range of techniques, as well as collaborating with the other members of the wider project team. To be successful in this position, you will have: PhD qualification
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change under broad direction. Highly developed analysis and communication skills and demonstrated ability to build compelling cases and convey complex information, ideas and concepts clearly and
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: Artificial Intelligence, Search and Recommendation, Data Science, Machine Learning, and Big Data Analysis, Distributed Computing and Cybersecurity Human-Computer Interaction. SCT will fast-track digital
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Recommendation, Data Science, Machine Learning, and Big Data Analysis, Distributed Computing and Cybersecurity Human-Computer Interaction. SCT will fast-track digital innovation across all College teaching
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Recommendation, Data Science, Machine Learning, and Big Data Analysis, Distributed Computing and Cybersecurity Human-Computer Interaction. SCT will fast-track digital innovation across all College teaching
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: Artificial Intelligence, Search and Recommendation, Data Science, Machine Learning, and Big Data Analysis, Distributed Computing and Cybersecurity Human-Computer Interaction. SCT will fast-track digital
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) with Melbourne Water. Key responsibilities will include managing three key projects, planning and executing fieldwork activities, data collation and analysis, and preparation of technical reports, peer