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plays a key role in supporting and advancing the research and strategic goals of the Australian Institute for Machine Learning. This position bridges research development and strategic operations, guiding
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engineering, aerospace design and manufacturing, flight mechanics and dynamics, propulsion, and/or aerospace numerical methods including machine learning, in a university of similar standing to the University
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numerical methods including machine learning, in a university of similar standing to the University of Sydney. The successful candidate must have a proven ability to manage units of study with large to very
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and support a passion for learning in our workplace and welcome dedicated professionals who can help us make a difference. We now have an exciting opportunity for an enthusiastic and skilled Digital
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numerical methods including machine learning, in a university of similar standing to the University of Sydney. The successful candidate must have a proven ability to manage units of study with large to very
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knowledge of Alteryx, Python, R, SQL, AWS, and PowerBI Awareness of emerging trends in Artificial Intelligence (AI) and Machine Learning (ML) within the data and analytics domain, and ability to assess
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). The AI Hub’s services include robotic process automation (virtual robots that perform complex tasks on a computer), chatbots, dashboards and other bespoke programs leveraging AI and Machine Learning
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knowledge of computer applications used in mechanical engineering. Special Requirements Some afterhours work may be required in the case of critical incidents. Position description: PD Senior Technical
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experience with databases and data entry. High level computer skills, including experience with the Microsoft Office suite of products. Ability to exercise judgement and use initiative. Demonstrated ability
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computer systems and applications, including Microsoft Office and learning management/communication platforms Excellent time management skills, with a demonstrated ability to respond to changing priorities