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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 hours ago
implementation science, health services research, survey research, epidemiologic methods, or measurement development. Experience with REDCap, NVivo, and/or quantitative or statistical analysis software. Experience
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publication record. Demonstrated experience analyzing other Canadian public transport projects. Proficiency in discrete choice and behavioral statistical modelling using R. Proficiency in microsimulation and
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supervising of trainees Providing other support as required by the research team The PDF will be supervised by Dr. Matthew Mitchell, who leads the Mitchell Multifunctional Landscape Lab (https
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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systems Working knowledge of ecological (especially landscape ecology) research methodology and advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses
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Analysi s Experience analysing high-dimensional biological datasets. Proficiency in R for statistical analysis, visualization, and reproducible data analysis. Experience with packages such as Seurat
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Qualifications PhD in computer science, clinical informatics, statistics, or a closely related field, conferred within the past five years. Demonstrated experience in health data visualization, interactive
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values of EDI, community building, and transformative teaching and learning. Office of E-IDEA website: https://www.mcgill.ca/engineering/initiatives/e-idea . The Research Assistant 1 will work with an
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ideal applicant will possess a curiosity and passion for science, as well as deep expertise in quantitative epidemiological methods, statistical modelling, and causal inference. Accurate attention
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contributions to dark matter research. Collaboration members contribute to detector calibration, data acquisition, event reconstruction, background modeling, statistical data analysis, and Monte Carlo simulations