Sort by
Refine Your Search
-
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
-
-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
-
web-GIS development or geospatial data visualization. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g., GEE Python API). Experience with airborne
-
experience of building energy simulation and/or urban building energy modelling (UBEM). Strong programming and data-analysis skills (e.g. MATLAB, Python or equivalent). Very good command of spoken and written
-
/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