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Power BI and Python skills to work across data, reporting and automation Join a collaborative team in a flexible, part-time role (0.4 FTE) About CSIRO As Australia's national science agency, CSIRO is
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. Experience with, or willingness to learn, scripting and data-analysis languages such as R or Python is desirable. Demonstrated ability to work effectively with researchers, technical staff, and other project
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gases and atmospheric chemistry, climate and/or air quality Strong capability in analyzing and interpreting complex datasets, including proficiency in Python, R or similar programming tools Demonstrated
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teams. Experience with genetic or genomic data, large-scale analysis, AI/ML, R or Python would be highly regarded. If you are excited by the opportunity to combine data, technology and science to address
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ideas and approaches in support of providing computing services to researchers or clients. Desirable Knowledge of programming languages (such as Python) and source code management tools. Experience
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environment Strong knowledge of HRIS platforms (e.g. SAP, SuccessFactors or similar) Capability in analytics and visualisation tools (e.g. SQL, Python, R, Power BI or equivalent) Experience developing automated
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language relevant for bioinformatics (e.g. Python, Rust, Java, C++, Scala, BASH, R, Julia). The ability to build productive relationships and work effectively within multidisciplinary, geographically
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identification, phylogenetics and/or molecular evolution, including a working knowledge of biodiversity research and bioinformatic workflows. Experience with programming languages (e.g. Bash, SQL, Python) and High
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mapping systems Survey/mapping software packages Processing multibeam backscatter data Program or scripting languages, such as Python Spatial data management For full details about this role, and other
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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 infrastructure