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and social determinants influencing sexual health outcomes. You will oversee both qualitative and quantitative data collection, ensuring cultural safety and community governance, while driving knowledge
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₂ storage. In this role, you will develop multiscale geomechanical and/or geodynamic tools and workflows to assess underground gas geo-storage at basin and field scales, with applications in both data-rich
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relevant experience and how your skills align with the role Applications close: 14 September 2025 For more information, contact Associate Professor Kehinde Obamiro at Kehinde.Obamiro@jcu.edu.au or 0455 543
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
. For further information please contact CIW Director Ben Hillman, ANU College of Asia and the Pacific, E: ben.hillman@anu.edu.au The University actively encourages applications from Aboriginal and Torres Strait
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internal service roles and committees, perform administrative functions, provide support to colleagues, and uphold university values. This is a research focused position. Further information can be found by
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. The ideal applicant will demonstrate strong analytical skills, a proven publication record, and the ability to communicate complex scientific information effectively. You’ll work with state-of-the-art
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as required. Demonstrated high level of written and oral communication skills. Preferable Experience in eukaryotic cell culture/tissue culture Expertise with advanced graphing and/or data analysis
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behaviour during bushfires, including the conduct of online surveys with bushfire survivors to study evacuee transport behaviour and the analysis of quantitative data, involving the development of statistical
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research team focused on advancing sustainable livestock feed through applied plant biotechnology, tissue culture, and physiology. The role offers a mix of laboratory, glasshouse, and data-driven work in a
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-quality research publications in econometrics or related fields. You will possess the ability to solve complex statistical problems, show advanced computer literacy with proficiency in relevant software