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                will involve developing deployable prototypes, efficient big data algorithms, and publishing in top-tier venues in databases, machine learning, and data mining. Key responsibilities will include 
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                research project to examine how water and energy are used and consumed within AI data centres, and to explore the extent to which this information is accessible through publicly available documents. The role 
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                to identify microbial indicators for monitoring marine ecosystems using large-scale short- and long-read sequencing data. You will collaborate with a dynamic team of internal and external researchers to achieve 
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                driving innovative approaches to the use and analysis of large-scale urban mobility data. As an emerging specialist in urban data analytics, you will collaborate closely with the URBANiQ director and data 
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                to lead and support high-quality data analysis, contribute to manuscript preparation, and supervise Honour and Higher Degree by Research students, as well as psychiatry registrars undertaking scholarly 
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                hypersonic flows. Demonstrated competence in: Performing experiments on medium and/or large-scale high enthalpy hypersonic test facilities, including the analysis of facility diagnostic data to quantify test 
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                , engage in internal service roles and committees, perform administrative functions, provide support to colleagues, and uphold university values. This is a teaching focused position. Further information can 
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                training. 3–5 years’ experience as a Security Architect, IT Infrastructure Engineer/Architect, or Solution Architect in large or complex organisations. Proven experience designing and communicating IT and 
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                processes while fostering strong partnerships across UQ and beyond. To succeed in this role, you will bring: Proven experience in research grant administration and post-award management within a large 
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                operations. Strong systems administration experience with Microsoft and/or Unix environments. Excellent problem-solving, communication, and documentation skills. Demonstrated experience working in large