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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
seminars and events. The position is funded by the Department of Foreign Affairs and Trade (DFAT), Australian Government. In this role you will be expected to engage actively with DFAT and other external
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
Classification: Academic Level A Salary package: $87,135 – $109,369 per annum plus 17% superannuation Term: Full time, Continuing (Contingent Funded) This position is continuing (contingent funded
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Queensland Alliance for Agriculture and Food Innovation Full-time, fixed-term position through to December 2027 Base salary will be in the range $82,057 to $109,246 + 17% Superannuation (Academic
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and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion or near completion of a PhD
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Child Health Research Centre Part-time (50%), fixed-term position through until March 2027 Base salary will be in the range $82,057 - $109,246 + 17% Superannuation (Academic Level A) Based at the
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
Position overview This fixed-term position will be based at the School of Art and Design, working in close collaboration with the School of Engineering, the Fenner School of Environment and Society, and the
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
Classification: Academic Level A Salary package: $87,135 – $109,369 per annum plus 17% superannuation Term: Full time, Continuing (Contingent Funded) This position is continuing (contingent funded
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initiative, these positions combine research excellence with practical impact, bridging academia and industry in Australia's most ambitious lunar exploration project. Key technologies include: autonomous path
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Proficiency in analytics, AI, and modern data science tools Excellent problem-solving, project coordination and communication skills A PhD or equivalent research experience (preferred) Experience with clinical