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Full time, fixed term for 2 years Work on a range of Artificial Intelligence in Education (AIED) and Educational Data Mining (EDM) projects Base Salary $109,263 - $121,054 + 17% superannuation About
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Research Fellow – Data Scientist Job No.: 682332 Location: 553 St Kilda Road Employment Type: Part-time, fraction (0.8) - Full-time (1.0) negotiable Duration: 12 month fixed-term appointment
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Job Reference: 1044217 About the Role: Join a pioneering national research initiative at the intersection of geochemistry, data science, and critical minerals. As an AuScope EarthBank Fellow, you
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-equity/gender-equity-and-inclusion/. For more information on Curtin’s 2030 Strategic Plan, please visit https://www.curtin.edu.au/about/values-vision-strategy/curtin-2030-strategic-plan/ About Curtin
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Job Reference: 1044217 About the Role: Join a pioneering national research initiative at the intersection of geochemistry, data science, and critical minerals. As an AuScope EarthBank Fellow, you
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), clinical trials, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Further information is
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person-centred hospital care for people living with dementia and/or delirium. The role will be based in the School of Medicine and Psychology, with strong links to the School of Computing within the Data
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
5 Sep 2025 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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analysis. Support the management of a large, multi-stakeholder research program. Contribute to advocacy through data and policy-relevant insights. The role offers flexible working arrangements, with
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 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