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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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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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, 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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, 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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, 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
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., routing decisions through bushfire-affected communities); conduct experiments with participants to collect data on decision-making during simulated bushfire events; and develop statistical models
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, industry partner, and supervisor to discuss progress and receive guidance. Analyse experimental data using appropriate statistical methods and interpret the results. Contribute to the writing of scientific
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finite element analysis (FEA). Data Analysis and Statistics: Knowledge of statistical software packages (e.g., R, Python, SPSS) and data visualisation techniques. Desirable experience Experimental Skills
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expected to actively participate in study 1 recruitment and data collection at the Newcastle and Maitland sites, and in overall statistical analysis. In addition, they will have the opportunity to be