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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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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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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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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
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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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constructive feedback, and strong organizational skills Passionate and clear about your own research interests Adept in running statistical analyses (e.g., Stata, R, SAS, MPlus) and/or in coding (e.g., Python
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) to genome-scale datasets · Extensive programming experience in R and/or Python (ideally both) · Strong writing, communication, and interpersonal skills, including a proven ability to work both independently
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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