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Field
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qualification (doctorate) Requirements: Completed scientific university degree in geography, (geo)informatics, landscape ecology or comparable disciplines Profound knowledge of GIS software, programming languages
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. Experience with relevant field work and lab analyses, as well familiarity with statistics (preferably R) and GIS tools will be emphasized. The applicant must be able to demonstrate/document
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scenarios. Investigate how the outputs from different biodiversity credit calculations are influenced by variation in sampling design, including use of GIS. Contribute to the development and refinement
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the use of SPSS/R studio/ and GIS software for basic and more advanced analyses (regression and spatial statistical analysis). Experience of working with open-source data, and with police forces and or
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simulations, to fit defined scenarios. Investigate how the outputs from different biodiversity credit calculations are influenced by variation in sampling design, including use of GIS. Contribute
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Experience with Geographic Information Systems (GIS) and spatial data analysis International collaborations within the relevant field, showing cross-cultural communication and teamwork skills PLEASE NOTE: For
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Engineering, skills in the areas of Geographic Information Systems, Geodesy and Hydrography. Additional optional skills and qualifications: Experience with GIS software and geospatial analysis tools. Experience
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 1 month ago
-acquired above-the-canopy mapping within the broader ForestSphere Digital Twin architecture (e.g., integration with understory maps at ground level and sensor-derived mapping data with GIS systems
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alongside other team members, and measuring light and noise pollution using multiple instruments and sensors, along with GIS techniques. The fellow will model the response of species and functional groups
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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