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Field
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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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skills in English (spoken and written). Preferred qualifications: Familiarity with tools/programs such as GIS, Illustrator, R or other spatial analytical or visualisation platforms. Basic knowledge
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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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, remote sensing, GIS tools/software, database management and data acquisition; good organizational skills; good command of spoken and written English and Portuguese; driving license. Other requirements
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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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programme No Description/content The Graduate School for Geoinformatics (GSGI) provides a structured doctoral education in the interdisciplinary field of geoinformatics. GI (geoinformation) is a powerful
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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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experience with spatial data analysis using GIS tools or spatial libraries and familiarity with common land-use datasets would be advantageous familiarity with environmental or agricultural economics research
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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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knowledge in plant species identification. The successful candidate should be able to independently conduct statistical analyses in R and hold a valid driver's license. Experience in GIS and handling large