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(GI) in these areas has been recognized for its potential to enhance quality of life for both humans and wildlife, but designing it involves complex trade-offs. Green spaces promote physical activity
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assess the factors affecting long-run changes in deforestation rates at the local level. Project members will use GIS (Geographic Information Systems) and digitized colonial topographic and vegetation maps
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to assess the factors affecting long-run changes in deforestation rates at the local level. Project members will use GIS (Geographic Information Systems) and digitized colonial topographic and
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analytical skills and the ability to work independently. affinity with GIS and quantitative research methods. strong communication skills in both Dutch and English. a results-oriented and flexible mindset
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improving health outcomes. Exploring the use of GIS and other spatial analysis tools to assess the effectiveness of built environment interventions. Developing a decision support system for municipalities
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. Investigating the role of participatory planning in promoting physical activity and improving health outcomes. Exploring the use of GIS and other spatial analysis tools to assess the effectiveness of built
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the use of GIS and other spatial analysis tools to assess the effectiveness of built environment interventions. Developing a decision support system for municipalities to integrate health considerations
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some academic research experience post-Master level. Demonstrable affinity with archival sources. Strong skills in GIS-based research, additional experience with computer vision and machine learning is a
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PhD Biodiversity responses to regenerative livestock practices in the Espinal woodlands of Argentina
of remote sensing, Geographic Information System (GIS), and the R statistical program is appreciated, as well as background or interest in participatory and social methods. The successful candidate should
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PhD Biodiversity responses to regenerative livestock practices in the Espinal woodlands of Argentina
related disciplines such as Ecology, Environmental or Agricultural sciences. Basic knowledge of remote sensing, Geographic Information System (GIS), and the R statistical program is appreciated, as