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intelligence as a Professorial Research Fellow in AIML. To be successful you will need: A doctorate (or equivalent) and research experience in computer science, machine learning, AI/software engineering or a
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. You will work closely with Professor Ali Abbas (School of Chemical and Biomolecular Engineering ) and Professor Gregor Verbic (School of Electrical and Computer Engineering ), in partnership with
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 13 days ago
be based in the School of Medicine and Psychology, with strong links to the School of Computing within the Data Science and Analytics cluster. The successful candidate(s) will contribute
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 2 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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established position is now available to work as part of the Resources Technology and Critical Minerals Trailblazer program at James Cook University. Position details Postdoctoral Research Fellow, Vanadium ore
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Conduct high-quality research in robotics and intelligent systems. • Institute of Innovation, Science and Sustainability – Gippsland Campus • Full-time, fixed-term appointment until September 2027
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29 Aug 2025 Job Information Organisation/Company UNIVERSITY OF ADELAIDE Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Australia
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candidate will join Associate Professor Jean Wen’s research group, conducting independent, high-impact research at the intersection of AI/machine learning, computational biology, and RNA biology. The position
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 10 days ago
diverse community of more than three thousand students, staff, and visitors. Our College comprises three schools: the School of Computing, School of Cybernetics, and School of Engineering, supported by
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the guidance of artificial intelligence techniques. The project will develop novel design processes that embed material behaviour within agent-based and machine learning computational design systems