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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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-facing web GIS dashboard. Investigate the forest, landscape, and climate conditions that drive storm susceptibility, using major windstorms as natural experiments and interpretable machine-/deep-learning
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. Subject description Forests in Sweden face
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and work with open and geospatial (GIS) data. Experience of hygrothermal / indoor-climate and moisture-risk assessment in buildings. A documented record of scientific publications. Ability to work in
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/model documentation, or FAIR data practices. Programming experience in Python, R, Julia, Java, MATSim, GIS tools, or related software. Experience working across disciplines or with stakeholders in