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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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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
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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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activities. Experience with scripting or automation using languages such as PowerShell, Bash, Python, or similar. Understanding of enterprise endpoint security concepts, including patch management
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data processing pipelines using Python. Experience working to industry-standard software development practices, including version control, git workflows, CI/CD pipelines and technical documentation