Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling
-
, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
-
) in Geography, Environmental Science, Earth Systems Science, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land
-
, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
-
analyzing soil water data. Skills in GIS. Analysis of plant data from ground- and/or remote sensing-based monitoring methods. About us The Department of Crop Production Ecology contributes to solving applied
-
, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
-
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
-
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
-
/or remote sensing Personal qualities and qualifications: Self-leadership: Ability to work independently and in a team Curious and bold: Curiosity for other disciplines, open-minded and willing to push
-
, 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