9 parallel-computing-numerical-methods-"https:" Postdoctoral positions at McGill University in Canada
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tokenization techniques and self-supervised learning methods to integrate diverse data streams (cognitive results, text, creative choices, psychometrics). ● Train models utilizing novel multi-modal
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/ multi-ancestry methods to biobank-scale human genetics and proteomics data. Analyze plasma and tissue proteomics data (e.g., Olink, SomaScan) integrated with genotype, phenotype, and electronic health
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predicting short-term convective hazards. The model development will be aided by synthesizing observational data and high-resolution numerical simulations to gain new conceptual insights on cloud life cycles
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other cognitive metrics. Responsibilities Adapt established cognitive tasks for the game, specifying intended constructs, scoring methods, and interpretation limits. Collaborate with a software engineer
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Summary: The Brown lab is focused on developing and applying advanced bioimaging techniques including live imaging methods to diverse biological problems. The project will involve studies to understand
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, emergency management, or public health policy — someone who can lead mixed-methods research and translate findings into real policy change. Applicants must have: Possess a PhD (within the last 1.5
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, conference presentations, or other research outputs. Experience conducting independent research using qualitative, ethnographic, interpretive, historical, philosophical, or mixed-methods approaches. Excellent
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quantitative data analysis using large longitudinal and population-based health datasets, including the application of advanced statistical methods such as survival analysis and longitudinal data
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/Postdocs (PSAC) bargaining unit. For further information, consult the text of the collective agreement, which can be found at: https://www.mcgill.ca/hr/files/hr/collective_agreement_-_post_docs_-_2023-2026_