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and Stata. Working with large datasets, including merging files into the data archive. Creating clear data visualizations to communicate results (including GIS maps). Assisting with the preparation
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escrita en español e inglés - Experience in analysing traffic accident data and road safety - Advanced knowledge of spatial analysis and Geographic Information Systems (GIS). - Proficiency in statistical
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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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Additional Information Eligibility criteria Technical skills: proficiency at ecological modelling, use of the Unix/Linux environment, proficiency at oceanographic data repositories and GIS tools, good
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representations) on the regional scale and preferably experience with GIS to support such analyses; A keen interest in the development of methods and/or theory for research through design and innovative, long-term
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preferably experience with GIS to support such analyses; A keen interest in the development of methods and/or theory for research through design and innovative, long-term (2100) spatial visions; Preferably
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. Experience in GIS and handling large datasets is a plus. A fully-funded PhD position for four years in a dynamic research group with an excellent research infrastructure in the international and
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Geography, with a solid background in physical geography to ensure a sound understanding of mountain hazards, proficiency in geomatics tools (GIS), and openness to participatory methodologies. Fluency in both
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considered an asset. Demonstrable methodological and analytical skills and the capacity to develop and conduct innovative research. Preferably experience with digital tools, such as Transkribus or GIS
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
data, GIS, and environmental modeling. Familiarity with programming languages such as Python, Julia, R, C++, or MATLAB is considered a strong asset. Experience with fieldwork or working with soil