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++, Python, ROS/ROS2) A strong track record of writing and maintaining technical program documentation and operational procedures. Expertise and experience in using AI approaches for automating navigation and
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data pipelines and trusted data products that power analytics, reporting, and data-driven decision-making across the University. Working with technologies such as Snowflake, Databricks, SQL, and Python
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, experimentation, SQL, and Python Cloud platforms and data services used to deliver analytics, for example Microsoft Azure or Snowflake Developing data strategy and strengthening data management, governance, quality
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, reproducibility, and performance. Explore and visualise datasets using Python and SQL to generate insights. Communicate results through reports and dashboards (e.g., Power BI). Trial generative AI applications and
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(e.g., R, Python) and software dependency management (conda, module systems, containerization) Experience installing and configuring scientific software in Linux environments, with working knowledge
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in data analysis/automation preferably in Python, R or MatLab Analysis of large geospatial datasets e.g. Google Earth Engine We know that talented people—especially those from under represented