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water security issues in Australia. Experience in programming and working with large spatial and time series data sets. For full details about this role please review the Position Description . Not sure
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: Level A Academic $88K- $117 K (based on experience) + 17% Super + Annual Leave Loading Location: Kensington, Sydney, New South Wales Visa sponsorship is not available for this position. Candidates must
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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criteria within the position description for the level of the position you are applying for by the closing date. Information to support you prepare your application is available on our website. If you
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support to colleagues, and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As part of the UQ
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the opportunity to join a team of established senior academics, bringing your fresh perspective and commitment to teaching excellence. More specifically, you will have: A PhD in Information Systems or a related
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 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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, possessing strong numerical modelling skills and a proven track record of high-quality publications in offshore engineering. You may also: Have a PhD in Geotechnical Engineering, Offshore Engineering, or a
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to feedback. Relevant teaching areas for the role are advanced modelling and advanced control (e.g. CHEE7111 and CHEE7113 courses). This is a research focused position. Further information can be found by
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PRIMARY DETAIL • Salary package: $106,089 (Level A.6 - PhD) to $113,697 p.a., plus 17% employer’s superannuation and annual leave loading. • Appointment Type: Full-time, fixed Term for two years