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of GIS software as well as word processing and spreadsheet programs Knowledge of programming languages such as R or Python desirable Experience in organizing workshops is desirable Very good written and
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qualification (doctorate) Requirements: Completed scientific university degree in geography, (geo)informatics, landscape ecology or comparable disciplines Profound knowledge of GIS software, programming languages
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) Experience in coordinating and managing inter- and transdisciplinary research projects Strong communication and collaboration skills Experience in academic work and scientific publishing Knowledge of GIS and
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geology, and geodesy Good field expertise in active tectonics and paleoseismology; knowledge of Balkans/Aegean geology is a plus Experience with structural/kinematic analysis and GIS Strong communication
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month 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
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Temporal Dynamics”. We intend to strengthen our existing expertise by an expert in benthic ecology and taxonomy of North Sea infauna and epifauna as well as statistical benthic long-term data analysis, GIS
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experience with spatial data analysis using GIS tools or spatial libraries and familiarity with common land-use datasets would be advantageous familiarity with environmental or agricultural economics research
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. Utilizing GIS tools to create map visualizations of the data across different spatial scales and temporal ranges. You are a Bachelor or Master student, enrolled at a German university, and ideally meet the
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programme No Description/content The Graduate School for Geoinformatics (GSGI) provides a structured doctoral education in the interdisciplinary field of geoinformatics. GI (geoinformation) is a powerful
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technologies (e.g., Python, R, GIS, databases) Relevant experience in data collection, data analysis, and research data management Understanding of the national and international scientific environment and