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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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, 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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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
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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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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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chemical analyses, handle hazardous materials, and use statistical analysis software to interpret research data and draw conclusions. Technical writing skills: • Ability to write research papers and reports
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to the project, such as polymer physics, statistical mechanics, or discrete mathematics. Preferably, experience writing high performance computer code in a language such as C, C++, Fortran, Scala, or Rust. A full
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awarded 1 Eligible courses PhD in Economics Eligibility criteria The applicant must have completed a Bachelor degree with First Class Honours in economics, statistics or related disciplines, or be regarded