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Field
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monitoring. Responsibilities Drive forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a leading role in developing digital tools
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, Urban Studies, Urban Analytics, Environmental Science, Computer Science, Architecture, or an appropriate master’s degree. Familiarity with Python/R programming, GIS and spatial analysis (e.g., ArcGIS
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or similar areas, and fully comply with the following requirements: The doctoral degree must have been obtained at least 1 year ago; Proven experience in GIS environment analysis (QGIS, ArcGIS, R), statistical
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required. Reading and understanding of German is an added value. Skills in managing GIS systems, cartography are needed. Knowledge of the basics of the hydrological cycle are requested. Specific Requirements
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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | about 1 month ago
public. Have experience with tropical field work and archaeological materials, as well as GIS skills. Statistical knowledge, experience with prehistoric pottery processing, and interest for prehistoric
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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | about 1 month ago
general public. Archaeological and botanical interests are advantages, as well as experience in tropical field work and GI skills. Be regularly present at Incipit. Your application Send your CV, copies
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reporting of flood events. Using GIS, AI, and time series analysis, you will reveal how climate risks and housing dynamics intersect and how patterns may evolve under climate change. Leicester and
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are looking for an enthusiastic individual with a degree in a quantitative discipline. Experience of geospatial analysis (with GIS) is essential and programming with code (e.g. R, Python) would be advantageous
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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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econometrics, machine learning, and GIS for predictive housing price modelling Addressing Edinburgh and South East Scotland's Construction Skills shortfall The full description of the projects is available here