9 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U" Postdoctoral positions at McGill University in Canada
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, conversational text, and biometric data. The core challenge is utilizing self-supervised representation learning to construct a continuous latent manifold of individual differences. Responsibilities ● Develop
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diagnostic "buckets" with a continuous, high-dimensional AI foundation model of human neurotypes. To achieve the massive global scale required, data collection will be driven by a mobile and browser
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, and patient outcomes in Québec. Working with population-based administrative health data, the successful candidate will lead epidemiologic analyses using comprehensive RAMQ and MED-ECHO linked
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Support & Training Support consultations with ABIF users and provide advice on experimental design, imaging strategies, and data workflows. Deliver one-on-one training for a range of imaging modalities
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clinical notes, structured phenotypes, medical terminology, ICD codes, and available omics and health-data resources to detect patients with clinical patterns suggestive of hEDS/HSD. The position is
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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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for nanoscale imaging of fixed samples, image analysis pipelines and data management and sharing strategies. 2. Keep up on the literature relevant to the project. 3. Apply for fellowship
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Social Studies of Medicine on ongoing research initiatives and grant-funded projects. Collect, analyze, and interpret research data using appropriate methodological and theoretical approaches. Prepare