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research, large-scale population survey data preferred - Experience with SPSS required, comfortable using R, Mplus, SAS, or Stata considered an asset - Experience with community-engaged projects preferred
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R, Mplus, SAS, or Stata considered an asset Experience with community-engaged projects preferred Demonstrated understanding of and/or ability to work with marginalized youth, including immigrants and
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). Minimum of two years related experience. • Demonstrated skills in data management and programming using statistical packages (SAS and SQL and occasionally STATA and R); • Demonstrated knowledge
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statistics, data management). Comfort handling large and diverse datasets. Strong coding skills (R and/or Python), with experience using a high-performance computing platform (e.g., Digital Research Alliance
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/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other relevant tools) Excellent written and oral communication skills Ability to work both
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expertise is preferred but for the right candidate can be taught Experience with quantitative and/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other
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be taught Experience with quantitative and/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other relevant tools) Excellent written and oral
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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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data science, machine learning preferred. - Strong programming skills in R and/or Python required. We invite applications from qualified candidates who share our commitment to employment equity and
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(SAS and SQL and occasionally STATA and R); • Demonstrated knowledge of research processes, systematic reviews, and syntheses; • Education/training and experience in quantitative research methods