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related field Demonstrated experience in geospatial analysis (GIS) and proven skills in hydrogeological or hydrological modeling Proficiency in programming (e.g., Python) Ability to handle large datasets
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(DNA extraction, DNA quality check) Bioinformatic processing and analysis of next-generation sequencing data GIS-based landscape analysis Statistical modelling of the relationship between genetic
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erosion models, field measurements and atmospheric boundary layer processes detailed knowledge of GIS, Google Earth Engine, and programming in these systems high degree of initiative, excellent
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with process based erosion models, field measurements and atmospheric boundary layer processes detailed knowledge of GIS, Google Earth Engine, and programming in these systems high degree of initiative
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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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to communicate and document research results clearly in English (B2) Desirable Qualifications: Experience with GIS tools and libraries (QGIS, GDAL), power system simulation tools (e.g., PyPSA, pandapower, etc
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languages, GIS and agricultural and flood modelling software is desirable primary data collection skills Ability to manage projects and contribute to research proposal development is an asset Work experience
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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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Schulz E-Mail: gi-personal@ime.fraunhofer.de Phone: +49 641 972-19203 Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Bioresources institute branch www.ime.fraunhofer.de Requisition
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document research results clearly in English (B2) Desirable Qualifications: GIS experience (QGIS, GDAL), basic understanding of distribution grid concepts and tools like PyPSA Experience with academic