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Field
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Streamlit or Dash) that integrate GIS mapping to visualize infrastructure, climate, and crop distribution. Scenario & Data Modelling: Translate techno-economic models (CAPEX/OPEX) into interactive Python
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Advertised Job Summary This position designs and maintains web GIS applications, manages authoritative spatial datasets, supports ArcGIS Enterprise and ArcGIS Online workflows, and develops Python-based
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geological field experience strongly preferred Familiarity with field documentation practice, including note keeping, photography, and sample labelling Proficiency with relevant mapping, drafting, GIS, and/or
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for acquiring, managing, analyzing, modelling, and visualizing geographic information to understand spatial patterns, processes, and relationships. Lund University GIS Centre at the Department of Earth and
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. Your main responsibilities include: integrating multi-source datasets, including GIS data, and qualitative insights; developing reproducible spatial analytical and GeoAI pipelines to investigate health
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Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote sensing and open-source GIS tools (e.g. Google
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in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and
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standard GIS applications Using vector graphics and desktop publishing software Experience using scripting languages (e.g., Python) to support GIS workflows Editing and writing business correspondence using
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review, and with geochronological methods used to date past earthquakes Proficiency with relevant mapping, drafting, GIS, and structure-from-motion software Good written and oral communication skills
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, irrigation, soil moisture, evapotranspiration, precision agriculture or related research Proficiency with R, Python, GIS, SQL or similar data analysis and visualization tools Experience managing research