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spatio-temporal generative models, and multimodal foundation models—including vision-language MLLMs and agentic AI frameworks—for longitudinal MRI and clinical data. Fellows will help build next-generation
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and observational measures of cognitive and emotional regulation (CER) for team settings that draw on rich multimodal data. (2) Develop a unified set of best practices for collecting and analyzing
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analysis of PFAS. This task notably involves cutting-edge work on data processing. Simultaneously deploy targeted analysis quantification and non-targeted identification of PFAS in samples obtained from
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: Analyze fMRI data to investigate brain activity and connectivity. Model brain functional connectivity using static and dynamic approaches. Utilize Dynamic Causal Modeling (DCM) to study brain network
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& Evidence: Investigating applied policy and programming questions to strengthen pandemic prevention, such as early warning systems, crisis data infrastructure, and overlooked drivers of vulnerability
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data collection and analysis for publication in peer-reviewed journals. The position will also include mentoring of undergraduate students. Qualifications: Research publications, grant writing
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are: Create favourable circumstances for the development of a field of research and a community of research on access to justice for OLMCs Produce scientific data for and with the access to justice stakeholders
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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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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 months ago
scientific manuscripts tied to your research. Keep detailed and organized records of experiments, protocols, and both raw and analyzed data per lab standards. Ensure the workspace is organized, clean, and