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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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operation of the ATLAS experiment, at the CERN's Large Hadron Collider (LHC) in Switzerland. Our work focuses on building and maintaining advanced detectors and instrumentation to study the fundamental
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. Qualifications: A doctoral degree in epidemiology Knowledge of advanced epidemiologic methods Strong data manipulation and analytic skills using statistical programming software, e.g., SAS Demonstrated ability
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participating in the collaborative development of: (1) spatially explicit baseline data of cropping practices, including identification of representative crop rotations, and (2) spatially explicit baseline
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therapeutic targets for stroke. We use a host of techniques including but not limited to large-scale mesoscopic calcium imaging, optogenetics, gene targeting with viral vectors or transgenics, transcriptomics
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nitrogen module in the Global Change Analysis Model (GCAM). The McGill-based postdoctoral researcher will have a particular focus on synthesizing and harmonizing existing subnational data (including through