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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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gene identification (MEGARes, CARD, ResFinder). Proficiency in Python, R, or Perl, with experience in Linux/Unix environments. Solid understanding of antimicrobial resistance mechanisms, horizontal gene
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sequencing (NGS) and omics data analysis. Knowledge of microbial ecology, dysbiosis, and host-microbiome interactions. Familiarity with cell culture techniques. R, Python, or other data science tools
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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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previous publications involving statistical analyses. Experience with behavioral methods. Proficiency in R, Python, MATLAB, or JavaScript for data analysis and experiment programming. Experience with grant
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, bioinformatics or related discipline Strong computational skills, with expertise in scripting in BASH and either R or Python Experience with analysing complex datasets on high-performance compute clusters A track
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ecology, or experimental studies. • Proficiency in one or more relevant programming or scripting languages (e.g., Bash, R, Python) for data processing, statistical analysis, and bioinformatics workflows
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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
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diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments. Applications close 9 July 2025 at 11.00pm AEST (R-51743). Please note that interviews have been tentatively scheduled