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data science, machine learning preferred. - Strong programming skills in R and/or Python required. We invite applications from qualified candidates who share our commitment to employment equity and
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programming languages (e.g., R, Python, Linux). Record of interdisciplinary research across the biological, chemical, or geological sciences. Academic background(s) or research experience in aquatic
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of their service lives), statistics, emerging data science tools and techniques A demonstrated ability to use a statistical programming language such as R or Python for non-linear data fitting, and optimization
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visualization techniques in R software package; 4) knowledge of database management systems (MySQL etc.). Minimum License and Certifications Job related licensure may be required for specific positions. Desired
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qualitative research, including high level of competency in data extraction, data cleaning and preparation, conducting a range of statistical analyses using statistical programmes (e.g. STATA, R, SPSS), and
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(SAS and SQL and occasionally STATA and R); • Demonstrated knowledge of research processes, systematic reviews, and syntheses; • Education/training and experience in quantitative research methods
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at 11.00pm AEST (R-47810). Please note that interviews have been tentatively scheduled for the week commencing 1 June 2025.
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or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Machine learning skills; Writing papers for management and
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committed to attracting, retaining, and promoting diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments. Applications close Sunday 25 May 2025 at 11.00pm AEST (R-51085
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on Wednesday 14 May 2025 at 11.00pm AEST (R-50649). Please note that interviews have been tentatively scheduled for May.