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on statistics and biometry. The successful applicant will provide advice and support to researchers and collaborators concerning experimental design and statistical methodologies as applied to plant
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computational expertise in mathematics, statistics and computing with applications in materials science, power engineering, quantum physics, signal processing, astronomy, industrial optimisation and data science
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-ground diversity. Employing an approach that integrates field-based research with advanced laboratory and statistical analyses. This project is part of the ARC Training Centre for Healing Country
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management tools to investigate problems, collect statistics, and make reports. Create reports that match project priorities or area activities. Share data in formats that fit the audience, like tables and
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computational expertise in mathematics, statistics and computing with applications in materials science, quantum physics, signal processing, astronomy and health. EECMS contains several major research centres and
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. Strong foundation in computer science, mathematics, and statistics. Knowledge of data engineering tools and techniques, including ETL, data modelling, and reporting. Ability to contribute to team and
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History, Engineering, Environmental Protection, Fine Arts, Genomics, Geophysics, Indigenous Affairs, Mathematics, Population Health, Public Policy, Statistics, Sustainability, Unmanned Aircraft Systems, and
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high-level competence in using statistical analysis software. Demonstrated experience or desire to participate in supervision of HDR students. A history of successful competitive grant applications
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Job Reference: 1163141 About The Role: An exciting opportunity is available for a Level A and/or Level B academic with strong econometrics, data science, analytical, and statistical modelling skills
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data warehousing, integration, and management of large datasets. Strong foundation in computer science, mathematics, and statistics. Knowledge of data engineering tools and techniques, including ETL