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record in peer-reviewed international journals Experience with remote sensing, LiDAR, and GIS applications Programming skills in Python Background in LiDAR point-cloud analysis and vegetation structure
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Director to identify technical resources and future needs. • Monitors and maintains the updates of GIS related software on PC workstations including but not limited to ArcGIS Pro, QGIS, R and Python
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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
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on conventional GIS visualization. It centers on building rigorous, high-fidelity, georeferenced 3D environments that serve as the structural backbone for analytics, simulation, and next-generation interactive
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such as Python, C/C++, or Java. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and geospatial libraries (e.g., GDAL, GeoPandas). Experience managing or supervising
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(R, Python, etc.), and working knowledge of data management protocols. Experience with exposome or environmental data, multiomics integration, and exposure-wide association studies (ExWAS) and GIS
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software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
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systems, you must have a NIE or DNI. If you are a citizen of another European country, your application must be submitted through the following website: https://reg.redsara.es/es/ By clicking on “Nuevo
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) Demonstrated knowledge and experience in the specialized area of Geographic Information System (GIS). (Required) Demonstrated ability and experience in the integration and analysis of very large data sets from
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modeling, for example, with FLAMMAP or FSim, Experience in analyzing large spatial and tabular datasets, Experience in GIS using ArcPro or R Terra, and; Experience coding in R and/or Python. Stipend