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strongly encourage candidates with relevant teaching and research experience in one or more of the following areas to apply: Artificial Intelligence, Machine Learning, Neural Networks, Generative AI, Large
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network that underpins teaching, learning, research and engagement across UQ. Working within a collaborative and high-performing team, you will contribute to enterprise-scale network infrastructure, lead
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experience, deemed equivalent by the GRC (or delegate). The ideal PhD candidate will have: A strong background in machine learning, deep learning, and signal processing Proficiency in Python and machine
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and engineering plans, tenders, funding reports, implementation plans and evaluation reports. Computer literacy and proficiency in Microsoft Suite are essential, as are numerical skills with experience
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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.).While the position start date is flexible, the successful applicant must have completed
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. Proficient computer skills, including Microsoft Office and the ability to learn and use work order management, access control and other relevant systems. Current motor vehicle license. For full details about
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fundamentals remain essential: you must understand, review and improve AI-generated work and apply sound judgement. Python and AI-assisted software delivery Generative AI, machine learning and AI evaluation
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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.). While the position start date is flexible, the successful applicant must have completed
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Computer Emergency Response Teams. This is an exciting opportunity to work alongside experienced cybersecurity and technology professionals, leveraging modern cloud and software engineering practices
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Australia to be considered for this position. Location: Hybrid, Kensington, Sydney About UNSW: UNSW Medicine & Health is a national leader in learning, teaching and research, with close affiliations