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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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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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, computer science, mathematics and statistics, engineering, or other related fields. Benefits of the scholarship include: A CSIRO Next Generation Graduates Scholarship for three and a half years, with a value
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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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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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completing a research degree with a demonstrated research component and experience in statistical analysis. Good written and verbal communication skills, with an ability to explain technical detail to non
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Australian Statistical Geographic Standard Remoteness Areas classification option to determine your geographic classification. Value This scholarship is valued at $5,000 for one year only, paid bi-annually
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models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term