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a working knowledge of several languages such as PostGres, MS Excel, JavaScript, Python, C# and R. It is important for the candidate to be adept with QGIS and PostGIS. The ideal candidate should be
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 22 hours ago
to tackle massive data sets in health. The focus will be on advanced statistical tests in machine learning and assemble such tests by accessing and validating publicly available code in the R programming
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understanding of, and proven experience using, advanced statistical analysis methods, as well as proficiency with related software (Stata, R, MPlus). Demonstrated expertise in psychometric methods (Factor
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: Lectures M 13–14, T 9–10, F 11–12 (lecturers are expected to attend two of three each week) Tutorials (Studios) T 12–14, W 11–13, W 14–16, R 11–13 (lecturers are responsible for two each week, schedule TBD
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13–15, W 15–11, R 12–14 (lecturers are responsible for two each week, schedule TBD). Weekly Teaching Team meeting tentatively M 16–17 (to be confirmed). Weekly Studio Debrief Meeting TBD. NOTE
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data analysis skills in: R and Python: development of automated workflows, statistical modeling, data visualization. MATLAB (preferred but not essential): particularly for legacy data handling
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 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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models) - Survival analysis (Cox models, competing risks) - Demonstrated knowledge of R - Familiarity with Matlab, SPSS and similar programs are an asset - Excellent verbal and written communication
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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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written, • Strong understanding of mixed-methods research with proficiency in quantitative data analysis and statistical methods (e.g., SPSS, R, STATA, or similar software) and experience with qualitative