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contribute to the development of innovative machine learning solutions using deep learning and multimodal foundation models. Working closely with leading researchers, you will lead the design, development, and
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environments, while playing a key role in advancing the School’s research profile, industry engagement, and educational excellence. With established strengths in machine learning, large language models, data
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% superannuation & leave loading Location: Kensington NSW (Hybrid Working Arrangements) Why your role matters The Program Officer, Experiential Learning plays a key role within the Employability Experiential
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Apply now Job no:543072 Work type:Full Time, Part Time Location:Sydney, NSW Categories:Research Infrastructure The Opportunity The ARC Centre of Excellence for Quantum Computer Performance and
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/or relevant work experience. Relevant disciplines may include transport engineering, computer science, artificial intelligence, data science, machine learning, operations research, mathematics
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literacy with excellent skills in Microsoft Office applications, systems and databases, including demonstrated ability to work with information systems and databases and ability to learn and implement new
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to work in 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
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providing effective customer service and support to clients at all levels Highly proficient computer literacy with excellent skills in Microsoft Office applications / client database systems Ability to make
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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
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 11 hours ago
Discovery Grant. Situated within the School of Systems and Computing, the Research Associate will be part of research activity in multidisciplinary settings requiring skills in cryptography, machine learning