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committees, perform administrative functions, provide support to colleagues, and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria
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Classification: Academic Level A/B Salary package: $85,010 - $131,227 per annum plus 17% superannuation Terms: Full time, Fixed Term (until 30 June 2027) Conduct Data Sciences and Analytics research
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking
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and/or reports, or professional or technical contributions which provide evidence of strong research potential. Sound analytical skills with an ability to communicate complex information clearly both
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. The Intelligent Systems activity cluster within the School focuses on the computational modelling and
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peer-reviewed literature An interest in global change ecology, macroecology, biogeography, or conservation biology Strong computational and analytical programming skills A good knowledge of advanced
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: Level B, $113,934 – $134,824 p.a. plus 17% superannuation. About the area The Centre for Microscopy, Characterisation and Analysis (CMCA) is UWA’s core analytical facility. The CMCA’s mission is to enable
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Ecosystem Research Network (TERN) is the national observatory for Australian ecosystems, delivering data streams that enable environmental research and management. TERN’s infrastructure is designed to examine
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collecting and analysing interview and interactional data. This will enable the co-design, testing, and implementing of a new training program to improve how assessments are communicated with clients and