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findings of bibliometric, quantitative, and qualitative data Assist in the preparation of grant reports Qualifications: Must be a registered McGill student Experience with large, structured literature
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to write and communicate clearly Preferred Qualifications Experience with high performance computer clusters Experience with the analysis of large datasets Good understanding of immunology Any kind
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(quantitative and qualitative). They must also have experience working with large datasets and producing high-quality data visualizations and linking agronomic and genetic factors. Experience in Python/R would be
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transforming chemical risk management for Indigenous community-based practice, university labs and classes, regulatory practices, and policy development. This large, interinstitutional research project brings
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, analysis, and integration of large multi-omic and imaging datasets. Support collaborative projects by coordinating data sharing, documentation, and reproducible workflows. Assist in preparing manuscripts
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Nation community geolocation data; Conduct research relating to First Nation band membership in Canada; complete administrative tasks; work with an international team of researchers. Your general location
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protocols Assist with participant recruitment Execute research procedures, including data collection, through interviews, and collection of demographic, clinical, cognitive and MRI data Work with
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, Australia, and the Netherlands. The project offers access to large-scale, multi-site neuroimaging datasets, advanced analytical tools, and a collaborative, multidisciplinary environment. Work environment: The
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University Health Centre. The primary role of the RA will be to recruit participants and manage a large-scale Data Bank on treatment outcomes for psychiatric outpatients. Main Duties & Responsibilities
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network connectivity. Implement machine learning models to detect patterns in large datasets and assist in predictive modeling. Develop and maintain custom scripts in Python or MATLAB to automate data