10 data-"https:"-"https:"-"https:"-"https:"-"Iscte-IUL" Postdoctoral positions at McGill University in Canada
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in Prof. Reza Salavati's lab, at Macdonald Campus, McGill University. Position Summary: The postdoc will contribute to the D2R (Data-to-Reality) applied research program aimed at developing novel data
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protection data in a cohort of over 10 000 dyads of young mothers and their children to investigate health factors associated with the continuity of child maltreatment across generations in Quebec, Canada. Job
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analysing individual interview data from older immigrants Participate in quantitative analysis of survey data Participate in conducting and evaluating pilot intervention in cooperation with community partners
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. Primary processing of single cell and spatial transcriptomics data, and more project-focused in-depth analysis. Integrate existing single cell and spatial transcriptomics datasets, use publicly available
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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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of the lab When requested, the RA will manage the progress of individual research projects Maintaining equipment in the Krock lab, including that purchased with CFI funds Qualifications: Proficiency with data
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the EarthCARE Cloud Profiling Radar (CPR) Doppler velocity observations. Lead the development of data products for convective systems for the upcoming WIVERN mission, employing a combination of forward and
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(BBB) dysfunction and edema in brain cancer, a major source of morbidity in the disease. Using radiomics, single-cell, and spatial omics, the project integrates imaging and molecular data to better
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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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: 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