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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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, 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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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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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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Overview Join us to make a difference! A highly competitive scholarship to develop new statistical machine learning and data-driven methods to battle social disadvantage in NSW. You will work with
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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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), singular optics, using electrons, atoms and light and the exploration of complex systems using statistical field theory. "Catastrophes on order-parameter manifolds" (with Dr Alexis Bishop and Dr Timothy