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in ecological fieldwork, ideally in wet grassland or agricultural systems - Skills in GIS, remote sensing, and spatial data analysis (bonus: agent-based modelling) - Demonstrated ability to work in
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carried out under the scientific supervision of Marianne Laslier (UMR EDYSAN 7058 CNRS), lecturer and researcher in ecology, geography, and remote sensing; Pauline Dusseux (UMR PACTE 5194 CNRS), lecturer
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typologies) Familiarity with augmented reality mapping (ARS), geographic information systems (GIS) and/or remote sensing Personal qualities and qualifications: Self-leadership: Ability to work independently
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, participation in scientific conferences or research projects), - Experience in advanced GIS analyses and in production and analysis of remote sensing material, - Documented experience in field and laboratory
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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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in GIS and remote sensing tools. - Background in statistics and data analysis. - Strong scientific writing skills for publishing results and communicating with stakeholders. - Ability to collaborate
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experiments, digital technologies, including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. Danish peatlands disappear due to human activities such as
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experiments, digital technologies, including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. Danish peatlands disappear due to human activities such as
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within the past 3 years in Environmental Science, Geography, Computer Science, Atmospheric Sciences, or related field. Advanced GIS and geospatial computing expertise. Demonstrated commitment and ability