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clinical assessments and treatments, neurophysiological techniques and statistical techniques in neurorehabilitation studies Lead the development and application for clinical research ethics review
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evaluate studies to improve the recovery after acquired brain injuries in collaboration with the supervisors Apply clinical assessments and treatments, neurophysiological techniques and statistical
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acquired brain injuries in collaboration with the supervisors Apply clinical assessments and treatments, neurophysiological techniques and statistical techniques in neurorehabilitation studies Lead the
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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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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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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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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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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