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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 10 days ago
issues/edited collections and present and participate at conferences and contribute to publications. The Person The successful applicant will hold a PhD in either History, Heritage/Museum Studies
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requirements, and data collection methods (e.g., clinical trials, surveys, focus groups), alongside proficiency in data management and analysis using software such as SPSS, Stata, R, or equivalent. Excellent
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experience applying these methods to real-world systems and technologies. Familiarity with software tools such as SimaPro, OpenLCA, Aspen Plus, MATLAB/Python, and data visualisation platforms. Demonstrated
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to exclusive internal-only vacancies, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in Remote Sensing, Agricultural Science, or a closely related
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to exclusive internal-only vacancies, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in Indigenous Health is desired (ideally with a focus on
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opportunities via the academic promotions process. About You Completion of a PhD and a background and/or interest in First Nations health and wellbeing (specifically Indigenous knowledges, methods, urbanisation
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technologies research in AIBN and at UQ. You will have research expertise in the use of computational chemistry and software development, with the capacity to apply these methods to research questions related
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of two referees), a statement of research interests and achievements. Essential A PhD or equivalent degree in plasma physics/high energy density science/computational science. Experience in
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graphing and/or data analysis software (Prism, Origin Pro, Matlab etc) Success in research funding and/or experience in grant development and writing. A good understanding of appropriate statistical analysis
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graphing and/or data analysis software (Prism, Origin Pro, Matlab etc) Success in research funding and/or experience in grant development and writing. A good understanding of appropriate statistical analysis