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affect resource availability and infrastructure. This thesis will explore how disruptive scenarios impact renewable energy potentials across Germany, by combining Python-based GIS workflows with energy
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programming skills in Python and R Experience in software development, particularly in dashboard or web application creation Familiarity with geospatial analysis, GIS tools, or related technologies is a plus
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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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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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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
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production, agriculture broadly, and/or smart technologies is desirable. • Experience in modelling biological or agricultural systems, with strong programming skills (R, Python, or Matlab