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asset (e.g., Python, MATLAB). A strong track record with neuroscience research in peer-reviewed journals. Ability to work independently and as part of a collaborative team. The researcher will join
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scanning (ALS, LiDAR) data an asset.•Demonstrated expertise with quantitative analysis. Ability to code in R or Python an asset.APPLICATION INSTRUCTIONSPlease send a CV and cover letter to Dr. Ché Elkin
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techniques and familiarity with cleanroom environments. Proficiency in data analysis and scientific programming languages (e.g., Python, MATLAB, or similar). Proven track record of research excellence, as
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- Proficiency in R and/or Python programming - An interest in interdisciplinary research spanning ecology, remote sensing, spatial analysis and mathematical ecology - Experience in writing and publishing peer
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such as R or Python. The ideal candidate will be comfortable working with large geospatial datasets and interested in collaborating as part of a team on various CanN2ONet modelling initiatives. Experience
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, including familiarity with programming environments such as R or Python. Experience with geospatial analysis and/or systems modeling around agriculture/food/energy applications, as well as experience working