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science, GIS, computer science or other relevant disciplines • Good background knowledge and overall interest in design technology • Proficient in statistical and programming skills, like Python
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spectrometry, with experience in geochronological dating using the Pb-210/Cs-137/Am-241 method, in the application of GIS software and Earth observation techniques using optical and SAR data, as well as those
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of GIS software as well as word processing and spreadsheet programs Knowledge of programming languages such as R or Python desirable Experience in organizing workshops is desirable Very good written and
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project. You'll apply remote sensing and participatory GIS mapping to develop a framework guiding sustainable forestry investments. Working with leading institutions and industry partners, you'll have the
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fields. Additional optional skills and qualifications: Knowledge of coastal geology. Knowledge and experience in programming with Python and in GIS. Availability and motivation to participate in field
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programming and analytical skills (e.g., Python, R, GIS, modeling frameworks). Experience working with EO data, disease surveillance data, or socio-environmental modeling. Demonstrated interest in
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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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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