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programme Reference Number AE2025-0553 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0553
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to communicate and document research results clearly in English (B2) Desirable Qualifications: Experience with GIS tools and libraries (QGIS, GDAL), power system simulation tools (e.g., PyPSA, pandapower, etc
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document research results clearly in English (B2) Desirable Qualifications: GIS experience (QGIS, GDAL), basic understanding of distribution grid concepts and tools like PyPSA Experience with academic
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Observation data analysis. You are fluent in Python and have solid experience with relevant machine learning and geospatial libraries such as PyTorch, TensorFlow, GDAL, rasterio, and zarr. You have experience
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, Kubernetes, etc.), and familiarity with HPC environments. Experience with geospatial libraries (GDAL/OGR, OTB, GeoPandas, PySTAC, etc.) and machine learning frameworks(Scikit Learn, Keras/TF, PyTorch, etc
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which are the largest flowering plants in the world! See https://eucxylo.sun.ac.za/open-air-lab/ for more information. The focus of this new experimental facility and associated research program is the
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Texas communities become more resilient over the longer term. To learn more, visit https://idrt.tamug.edu What We Want We seek a highly skilled and collaborative Data Scientist to lead the development and