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Field
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. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific
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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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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 8 days ago
/2022. The successful candidate will support research activities related to GIS, spatial statistics, accessibility modelling, territorial typologies and dashboard development within an international
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(PIT-tags, hydrophones, geophones, etc.). 2) Modeling and data analysis: - Proficiency in GIS tools (QGIS, ArcGIS) and hydraulic modeling software (HEC-RAS, TELEMAC, Mike). - Advanced programming (Python
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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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master’s degree in engineering, or an equivalent degree in geodesy, remote sensing, geoinformatics, or a related field; project requirements: proficiency in the Matlab and Python programming languages, and
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use, zoning, property taxation, or housing finance policy. Working proficiency in econometric, statistical, or qualitative analysis software (e.g., Python, R, Stata, NVivo, EViews) and/or GIS and data
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, Python, GitHub, fieldwork, laboratory workflows, or grant/manuscript development. Experience with R, Git/GitHub, phylogenomic or population genomic workflows, GIS/spatial analysis, herbarium curation
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recognized leader in cartographic design, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research
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scenarios. The researcher will develop profit–risk–environment tradeoff products, build reusable R/Python workflows, and publish and present results in collaboration with USDA-ARS and university partners