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A student with a strong background in statistics with Honours or Masters, excellent computing skills in R or Python, and an interest in working with biochemists and medical researchers. A student
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at UNSW, provided no tertiary study was undertaken during this period. School of Mathematics and Statistics Indigenous Scholarship (UGCE1268) $5,000 per annum for the minimum duration of program Aboriginal
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an advantage. Quantitative analysis skills (e.g., statistics, network analysis, or modelling) or an ability and interest to develop these skills would be an advantage. How to apply To apply for this scholarship
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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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, statistical analysis, or a relevant field be proficient in programming languages such as Python, R, or similar, for data manipulation, analysis, and modeling have strong analytical and problem-solving skills
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the circular economy for South Australian University Honours and Postgraduate students which are able to manifest into realistic solutions for accelerating South Australia’s transition to a circular economy. The
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, there is opportunity to improve this process including potentially using activity data (based on mobile devices). Areas that this project could relate to include applied economics/statistics, urban planning
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; University of New South Wales; University of Western Australia; and University of Tasmania. You may only apply for one university program. Changes to Enrolment NA Enquiries For more information on the
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, Earth Engine), analyzing gridded data, and a working knowledge of Earth Observation physics, ecology, and statistics. The candidate should have a keen interest in further developing good analytical skills
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information systems) Have a strong background in quantitative research and methods, including handling large datasets Have a sound understanding of statistics and experience using multi-level statistical