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comparative transcriptomics/metabolomics. Conduct bioinformatic and computational analyses in R and Python, with reproducible and interpretable code pipelines and documentation. Read and synthesize
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diseases, and nutrition). Daily activities include data cleaning, analysis, and visualization in R, Python, and similar statistical software environments; preparing publication-quality tables and
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. Basic data analysis skills using Python, R, or comparable tools. Accurate record-keeping, strong organization, and the ability to follow detailed protocols and work well as part of a team
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) using JavaScript, Python, HTML, CSS, Node, PostgreSQL, and version control software, such as Github, based on user requirements and analysis as part of the Full Software Development Life Cycle (SDLC
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evolution. It will include the development of simulation code using a programming language such as C++, R or Python, interpretation of model outputs, publication and presentation of findings. The work
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phosphoproteomics platform tailored to high-dimensional perturbation experiments of primary cells Analyze large-scale (phospho)proteomics datasets using R or Python-based computational tools to
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tools, and supporting services for operating HPC clusters. Install and administer the Slurm workload manager, manage QOS policies, accounts, accounting, and related automation scripts (Python and C
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and Python), and also leading junior colleagues to integrate novel software components to existing infrastructure. This role will contribute to ideating new research questions and integrating projects
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models and Aristotle as part of an AI-assisted mathematical research workflow. Write, modify, and debug computer programs and scripts. Use Python and, when necessary, learn other programming languages or
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your Python expertise HE0 8: $131,108 - $147,858 plus 17% Superannuation About the opportunity We are looking for two Analytics Specialists to step into pivotal roles at the forefront of advanced