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ecosystem mapping (e.g. remote sensing, GIS). You have affinity with renewable energy planning, nature-positive transitions, and/or biodiversity governance. You possess excellent analytical and writing skills
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authorship of 1-2 peer-reviewed publications. Contribute to the development of long-term model maintenance and update strategies. Required Qualifications and Experience PhD in Remote Sensing, Environmental
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traps, vegetation plots) and for ecosystem mapping (e.g. remote sensing, GIS). You have affinity with renewable energy planning, nature-positive transitions, and/or biodiversity governance. You possess
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or abroad, in Soil Science, Remote Sensing, Environmental Sciences, or Pedometrics; - Proven experience in pedometrics, soil remote sensing, predictive soil modeling, soil organic carbon, and data science
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experience in remote sensing and GIS, strong programming skills (Python, R or similar), and an international publication record. Experience with machine learning and cloud computing will be considered an asset
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analyzing soil water data. Skills in GIS. Analysis of plant data from ground- and/or remote sensing-based monitoring methods. About us The Department of Crop Production Ecology contributes to solving applied
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sensing, and geodesy approaches Your qualifications: A PhD degree (or equivalent) in Geosciences, Earth Sciences, Geophysics, Remote Sensing, or a related field Background in active tectonics, structural
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skills (survey, cataloging, creating typologies) Familiarity with augmented reality mapping (ARS), geographic information systems (GIS) and/or remote sensing Personal qualities and qualifications: Self
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expertise in forest ecology, disturbance ecology, and landscape ecology, and methodological expertise in harmonizing distinct databases (e.g., forest inventory, remote sensing, land cover), GIS, and R-based