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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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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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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
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-based research approaches, GIS / PPGIS, and qualitative methods. The ideal candidate will have training in biodiversity management, recreation ecology and outdoor recreation planning, and experience in
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on spatial remote sensing and geographic information systems (GIS). The new mathematical models developed as part of the Math-Vive PEPR will serve as a basis for building predictive analysis models and
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; Experience with (statistical) data analysis; Previous experience with agent-based modeling or any type of spatial modeling is beneficial; Ability to work with spatial data/GIS is an asset; Domain knowledge in