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supergiant stars right before the explosion Searching different astrophysical channels that produce r-process elements Connecting the properties of long-duration gamma-ray bursts and associated supernovae web
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using statistical software (e.g., Stata, R, SAS) and willingness to further develop their analytical and statistical skills. A high degree of self-motivation. Study load: Students are expected to enrol
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relative to opportunities when assessing suitability for the role. Applications close 18 September 2025 at 11.00pm AEST (R-55191). Please note that interviews have been tentatively scheduled for the week
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statistical analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., eye-tracking, pupillometry) Interest or training in technology law, digital regulation, or AI
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, and skills in modelling & programming tools such as SINCAL, PowerFactory, OpenDSS, PSCAD, Python, Matlab, R, or Julia would be desirable. For full details about this role, please review the Position
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, AquaCrop) or experience with agricultural or environmental modelling. Some experience with programming in R and/or Python. Exposure to climate or weather data, forecasting systems, or geospatial tools
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, criminology, statistics, or data science experience in managing and analysing large relational datasets in R, SPSS, Stata or similar software strong quantitative skills excellent communication skills, both
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Aerospace R&D, Research and Curtin University. Scholarships Email Alert Sign up now
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) + Finite element methods for complex flows in porous media (generalized multiscale finite elements via autoencoders, adaptive in space and time, splitting methods, and variational flux recovery) + Adaptive r
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identified above may also submit their CV and expression of interest to identify the R&D activities they wish to carry out. Expected research outcomes for students may include: Impacting and reshaping future