-
Minimum Qualifications - PhD in ecology, remote sensing, environmental sciences, or a related field - Strong quantitative skills, including ecological data analysis, statistical analysis and data management
-
Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
-
. Collaboration with other PhD students, postdocs, and senior researchers from the involved universities will allow us to integrate mathematical and physical models of the data to address the larger project goals
-
data analysis, statistical analysis and data management - Proficiency in R and/or Python programming - An interest in interdisciplinary research spanning ecology, remote sensing, spatial analysis and
-
, remote sensing, environmental sciences, data science, mathematics or a related field - Strong quantitative skills, including data analysis, statistical modeling and data management - Proficiency in R and