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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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with real-world application to pressing health challenges. In this role, you will: Develop new statistical methodology to support adaptive variants of cluster randomised trials Write R or Stata code
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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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panel considers both potential and performance relative to opportunities when assessing suitability for the role. Applications close 31 July 2025 at 11.00pm AEST (R-53718). Please note that interviews
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classification. Strong background in experimental design, statistical sampling and analysis in field settings. Skilled in GNSS‑based geolocation, GIS software (e.g. QGIS, ArcGIS) and programming (Python, R
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9 August 2025 at 11.00pm AEST (R-53097).
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or metabolomics. Experience using ‘R’ and high-performance computing preferred. Evidence of publications in reputed refereed journals and presenting at conferences. Evidence of contributions towards successfully
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software such as redcap, R, python. Experience in clinical trial management and coordination, including regulating clinical research with a large human subjects component. Strong knowledge of ICH Guidelines
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proficiency using analytical software such as R or Python, you are equipped to make a significant positive impact within our research team! About Monash University At Monash , work feels different. There’s a
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their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role. Applications close 18 August 2025 at 11.00pm AEST (R-52772). Please