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Field
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modelling and statistical computing programs and languages such as Python and R Please refer to the Position Descriptions for other duties, skills and experience required for this position. Welcome
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technologies, is highly desirable. Skills: Strong knowledge of clinical informatics frameworks, standards, and methodologies. Proficiency in data analysis software (e.g., R, Python, SAS, SPSS, SQL) and
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electronic medical records, clinical trial data, survey data, and observational data • Systematic review and meta-analysis Software requirement: • R, STATA, or other similar software Recruitment is open
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nationally ranked for excellence. CMU leads the nation in leadership development programming through our Sarah R. Opperman Leadership Institute, and we are proud to be among only 5% of U.S. universities in
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proficiency in data analysis tools (e.g., Python, R, SPSS). Proven track record of conducting research in AI safety, governance, or related areas, with publications in peer-reviewed journals or policy reports
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both potential and performance relative to opportunities when assessing suitability for the role. Applications close Wednesday 16th July 2025 at 11.00pm AEST (R-52492). Please note that interviews have
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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
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promoting diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments. Applications close Wednesday June 4th 2025 at 11.00pm AEST (R-51960). Please note that interviews have been
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proven ability using statistical software for managing and analysing data using STATA/SAS/R. Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and
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in languages like Python or R. Professional experience in the application of Machine Learning algorithms in the mapping and correction of spatial data. Professional experience in data analysis