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of scientific findings. He/she will be accountable to the Principal Investigator (PI). The RF / RA will be able to: Conduct quantitative data analysis using SPSS / STATA / R; Lead the development of research
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tools such as R, Python, or MATLAB as well as relevant machine learning frameworks Experience in statistical data analysis, and expertise in areas such as experimental design, linear/nonlinear models
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journals. Have experience in: (i) integrating single-cell and spatial multi-omics; (ii) computational programming in R, Python (and other common computer languages); (iii) competence/interest in analysing
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economics and behavioral experiments. Compiling, processing, and analyzing data from the experiments using statistics and econometrics software STATA and (or) R. Engage in academic activities (proofreading
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liaising with industry partners Skilled in data analysis using SPSS, R, and/or NVivo Strong written, oral, and digital communication with effective teamwork High level administrative and organisational
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relative to opportunities when assessing suitability for the role. Applications close Sunday 27 July 2025 at 11.00pm AEST (R-53948). Please note that interviews have been tentatively scheduled for the week
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or adaptive designs. • Proficiency in at least one of the following: R, Python, JavaScript, or other relevant data analysis or app development tools. • Familiarity with EMA, EMI, MRTs, or SMART designs is
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for various projects using tools such as SPSS, R, and/or Microsoft Excel Draft conference and journal submissions based on research findings Prepare financial and progress reports, presentations, as
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have been received within the past five years. Preferred skills: Experience with ecological modeling, spatial analysis and statistics, ArcGIS Pro software, Python and R coding. Stipend $60,000.00
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in agricultural soil microbiology. The participant will also have active exposure to statistical data analytics using R, Python, and current bioinformatic software. The participant will gain or enhance