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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 16 hours ago
analysis. · Expertise in nonlinear multi-species models, bioeconomic models, or related quantitative methods for natural resource management. · Proficiency in programming languages such as R, Python
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methods is an asset Knowledge of Bayesian statistics is an asset Excellent written and oral communication skills Strong analytical, problem-solving, and programming skills (in statistical software such as R
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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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administrative heath and economic data. In addition to new methods development and evaluations, the job responsibilities include software development (mostly in R), possibly theory development, simulation studies
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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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record; a strong background in computational and/or experimental techniques, such as programming (R, Python), statistical modeling, conducting online experiments (Prolific, Gorilla), and acoustic analysis
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sciences, data science, mathematics or a related field - Strong quantitative skills, including data analysis, statistical modeling and data management - Proficiency in R and/or Python programming - A proven
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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