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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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working with Environment Canada to build better species distribution models that include species interactions and connectivity. The postdoc will develop professionally by learning new statistical techniques
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Women’s Hospital (Boston). The fellow will collaborate with research staff in the development of the necessary analytic files, lead the statistical analyses, and prepare manuscripts for publication
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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
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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
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with multivariate statistics, machine learning, and/or remote sensing would be an asset. Experience and education: Ph.D. degree in geography, agriculture/agronomy, environmental science, or a related
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have a strong interest in an interdisciplinary approach to human motor control. Experience in statistics and programming is an important asset (e.g. Matlab). The position is funded for one year and could