Sort by
Refine Your Search
-
. Proficiency in GIS, remote sensing, and statistical modelling for forest carbon and biodiversity analysis. Experience in conducting socio-ecological research, policy analysis, and stakeholder engagement
-
in biodiversity assessments and ecosystem service valuation. Proficiency in GIS, remote sensing, and statistical modelling for forest carbon and biodiversity analysis. Experience in conducting socio
-
assessments and ecosystem service valuation. Proficiency in GIS, remote sensing, and statistical modelling for forest carbon and biodiversity analysis. Experience in conducting socio-ecological research, policy
-
field. Strong experience in forest operations, management or silviculture research. A background in quantitative analysis, spatial modeling, and/or remote sensing is desirable. Proficiency in GIS, R, and
-
, spatial modeling, and/or remote sensing is desirable. Proficiency in GIS, R, and/or Python for data analysis, modeling, and spatial analysis is also desirable Excellent written and verbal communication
-
sustainability in the built environment, focusing on the integration of green buildings, renewable energy, Remote Sensing and Geographic Information System (GIS), green infrastructure and analysis through machine
-
Position Specific Required Qualifications: PhD in Physical Geography, Geoinformatics, GIS and Remote Sensing or Related Field Proven experience in processing and analysis of satellite and airborne imagery