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- FAPESP - São Paulo Research Foundation
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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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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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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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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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in ecological fieldwork, ideally in wet grassland or agricultural systems - Skills in GIS, remote sensing, and spatial data analysis (bonus: agent-based modelling) - Demonstrated ability to work in
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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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: • PhD in Geography (Remote Sensing, Geomatics), Computer Science, Agricultural Sciences • Skills and/or knowledge in artificial intelligence (Machine Learning) and programming: proficiency in Python
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, participation in scientific conferences or research projects), - Experience in advanced GIS analyses and in production and analysis of remote sensing material, - Documented experience in field and laboratory
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/or remote sensing Personal qualities and qualifications: Self-leadership: Ability to work independently and in a team Curious and bold: Curiosity for other disciplines, open-minded and willing to push
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 2 months ago
policy Experience with remote sensing and spatial-modelling tools (e.g., GIS) Supervisory or teaching experience Experience in setting up and managing collaborative relational database Further information