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. 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
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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
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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
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of Canada) a plus. Experience with Geographic Information Systems (GIS) software is desired. Ability and willingness to coordinate and manage projects, including leading team meetings, overseeing day-to-day
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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
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, 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