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and analysis for biological or scientific data using programming and scripting. Experience managing and organising complex datasets, with an understanding of data integrity and reproducibility
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chemistry, climate and/or air quality Strong capability in analyzing and interpreting complex datasets, including proficiency in Python, R or similar programming tools Demonstrated experience engaging with
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practices (use of repositories, deployment standards, efficiency analysis). Advanced data analytics and programming capabilities in more than one language relevant for bioinformatics (e.g. Python, Rust
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with molecular species identification, phylogenetics and/or molecular evolution, including a working knowledge of biodiversity research and bioinformatic workflows. Experience with programming
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Kubernetes. Demonstrated experience with various scripting and programming languages such as Bash and/or Python, and willing to learn new ones. Experience in using, building or administering
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programming software (e.g. R, C++) to produce graphical and statistical data summaries, and fit models to observed data. Ability to summarise, analyse and format commercial and biological fisheries data