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include strong skills in GIS, large dataset handling, Python programming, and a record of scientific publications in the field. Excellent command of English, both spoken and written, is expected. Merits
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on individual assessment. Special weight will be given to: Documented experience in analysing ecological or biological data using Python or R. Basic knowledge of database management (e.g., SQL), data retrieval
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topographic indices as environmental variables for mapping, and satellite data for weather. The doctoral student will be part of a broad research group with expertise in GIS, AI, soil science, forest ecology
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Information Systems (GIS), programming in Python, practical forestry, nature conservation, cultural heritage management, as well as a driver’s license, are considered assets. Place of work: Umeå Forms