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an opportunity for a Research Associate to investigate the mineral demand implications of scaling artificial intelligence hardware. Through scenario development, you will examine the mineral requirements of AI
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for Unmanned Aerial Vehicles (UAVs). This role provides the opportunity to develop both software engineering skills and research expertise in various subareas of Artificial Intelligence (AI) such as computer
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for Unmanned Aerial Vehicles (UAVs). This role provides the opportunity to develop both software engineering skills and research expertise in various subareas of Artificial Intelligence (AI) such as computer
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staff — one of the largest deployments in the South Australian university sector. This role sits at the centre of that work. As the Artificial Intelligence Specialist, you will play a key role in
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Salary $131,108 to $147,858 + 17% Superannuation Solve by Talent is partnering with the University of Sydney to recruit an Artificial Intelligence (AI) Engineer to support the delivery of key Information
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, Wallumattagal Campus, North Ryde Macquarie University is looking for an outstanding academic with an excellent track record of teaching and research in Artificial Intelligence. The successful applicant will be
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
, Wallumattagal Campus, North Ryde Macquarie University is looking for an outstanding academic with an excellent track record of teaching and research in Artificial Intelligence. The successful applicant will be
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create the most sought-after postgraduate artificial intelligence degrees in Australia. The School of Electrical Engineering and Computer Science is seeking to appoint a Teaching Focused academic at
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Research Fellow, Data Scientist (Wearable Technologies, Digital Health & Artificial Intelligence) Job No.: 697562 Location: Clayton campus Employment Type: Full-time Duration: 3-years fixed-term
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, demographic, lifestyle, laboratory, imaging and longitudinal health data provides opportunities to apply Artificial Intelligence (AI) and Machine Learning (ML) to colorectal cancer research. Research Aim