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via GitHub repository) in statistical analysis and modelling using R or Python with open source code Experience with high performance computing environments, particularly Digital Alliance Canada
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using chemical, thermal, etc. approaches and conducting characterization of intermediates and products. Compile and interpret data including statistical analysis. Developing lab techniques and protocols
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statistical modeling approaches. Support the integration of implementation science methods to improve the translation of research findings into clinical practice. Assist in the development of guidelines and
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on campus, so candidates with Canadian status will be given preferences. Qualifications: A PhD degree in Economics, Marketing, Biostatistics/Statistics, or a related field, strong computing/programming and
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Minimum Qualifications - PhD in ecology, remote sensing, environmental sciences, or a related field - Strong quantitative skills, including ecological data analysis, statistical analysis and data management