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Australian Naval Infrastructure, funded by Defence Innovation Partnerships. The Research Associate will: Apply advanced statistical methods, including time series and Bayesian modelling, to analyse biofouling
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datasets. The Research Associate will: Design and implement high-performance workflows integrating GPU programming, deep learning, and large-scale data integration. Apply advanced methods such as ColabFold
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in Microbiology or significant progress towards completion of a PhD in Microbiology. A demonstrated capacity to apply effective technical methods, processes and systems, and sound data analysis and
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will demonstrate: A PhD (or near completion) in Public Health or a related health discipline. Strong skills in quantitative research and/or data science methods. Ability to critically review and
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play a key role in developing and delivering engaging learning experiences, using contemporary teaching methods and technologies. Responsibilities include preparing teaching materials, delivering
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machines and will be highly proficient in the use of manual and numerically controlled machining methods suited to specific construction tasks. You bring a proven track record of independently developing
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spatial data analysis, mapping and Geographical Information Systems. To be successful, you will demonstrate: A PhD (or near completion) in hydrogeology or a related field, or equivalent work experience
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passionate about preparing students for impactful public service careers. Additional responsibilities for this Teaching Specialist position include: Completion of a PhD Demonstrated experience or ability
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solutions across teaching and research. The role involves designing and programming embedded systems, developing software interfaces, and providing support for a wide range of equipment and systems used in
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technical documentation, research publications, and contributing to final project reporting and presentations. About You As the successful candidate, you will possess a PhD in Computer Science, Engineering