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. Compétences requises Bonne connaissance des technologies genAI : LLM, architectures RAG, agents IA, orchestration de workflows, prompt engineering Développement en Python et intégration de solutions
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reusable, maintainable, and standardised solutions. Strong programming and scripting skills, particularly in Python, shell scripting, and PowerShell, with the ability to develop maintainable automation
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in at least one programming language for geospatial analysis: Python (rasterio, geopandas, scikit-learn), R or Google Earth Engine. Experience with open-source tools (QGIS, GRASS GIS, GDAL) and
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PhD Student Position in Interoperable Digital Workflows for Regenerative Building Design and Perform
models, simulations, environmental databases, sensors, surveys, and interviews Experience in scientific programming, scripting, or workflow automation. Knowledge of Python or an equivalent language is
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include: Strong programming skills, preferably in Python and/or R, with experience building reproducible data-analysis workflows. Excellent quantitative and statistical reasoning, including a clear