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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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
discipline by the appointment start. Proficiency in both quantitative and qualitative data collection and research methods. Experience using quantitative (e.g., R, SPSS, or Stata) and qualitative analytic
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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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-reviewed journals, including literature reviews, referencing, copy editing, drafting some sections. Conduct data analysis under supervision of team PI and statistician using statistical software (SAS, R
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reports and contributing to scientific publications. Strong verbal and written communication skills for presenting experimental findings. Additional Considerations: Previous experience working in an R&D
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written communication skills for presenting experimental findings. Additional Considerations: Previous experience working in an R&D or academic research environment. Experience with safety protocols
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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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 18 hours ago
or intervention research. Experience with both qualitative and quantitative data collection. Experience using qualitative (e.g., NVivo or Dedoose) and quantitative analytic software (e.g., Stata or R
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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