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and commercial tools (e.g. XCMS, MZmine, Compound Discoverer, GNPS, SIRIUS, etc). Proficiency in one or more programming languages (e.g. R, Python). Experience with continuous integration and best
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network. This includes DARPA program managers and research performers from leading universities, commercial firms, and non-profit R&D organizations. For early-career civilians, the Innovation Fellowship
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conducting social network analysis Familiarity with R as applied in data analysis Proficiency in academic writing Good organizational skills and able to work within tight deadlines Good interpersonal, written
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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
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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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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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in bioinformatics workflow and utilising code in a UNIX/Linux environment, familiarity with R and some python for biological and multi-omics datasets. Experience in managing, coordinating and achieving
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and mathematical modeling (Python, MATLAB, or R) Design of controlled experimental systems to test mechanistic hypotheses Application Instructions Interested candidates should submit the following
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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