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expertise in biodiversity policy and laws, such as Natura 2000, the Marine Strategy Framework Directive and Water Strategy Framework; experience or education in quantitative spatial analysis (R, GIS). You do
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background in quantitative methods and statistical analysis; programming skills (Python, R, Matlab, or any related language), previous experience with large data analysis and/or GIS are an advantage; excellent
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. You should have an interest in integrated modeling that combines models from disciplines (water quality and GIS) and in working with large datasets and numerical models. As part of this project, you
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(WOFOST, DSSAT); Proven skills with scripting and programming (e.g. Python, R, GIS); Ability or willingness to learn about AI/ machine learning; Experience with the visualisation of results to facilitate
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entanglements, exposures, and toxicities (including, but not limited to, through sensorial, creative, body, GIS, or other kinds of map making). The ideal applicant will have qualitative and spatial research
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flexible attitude. You also possess: An MSc in spatial planning, geography, landscape architecture or related discipline Proven skills in GIS and basic quantitative analysis methods Dutch proficiency (most