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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. Potential
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will help lead efforts to design and manage online surveys, data collection, analysis, and coordinate with partner organizations. The incumbent will be working with Montreal Mobility survey data
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human brain tumor samples at different stages of progression and after exposure to therapies. The postdoctoral researcher will have opportunities to lead projects, devise data analysis strategies, and
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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opportunities that support ongoing and future research activities. Mentor graduate students and research trainees in study design, data analysis, interpretation of findings, and scientific writing. Support the
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or motion analysis, human action recognition, or educational assessment systems Familiarity with surgical simulation, medical education, digital health, or healthcare AI applications Experience deploying
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usefulness of the AI-based case-finding approach. Prepare reproducible scripts, analysis documentation, technical reports, figures, manuscripts, and grant materials. Collaborate with clinicians, geneticists
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, quantitative imaging, molecular mechanisms regulating cell migration and work independently and as part of team. Will develop protocols, quantitative image analysis pipelines, training and education materials
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design, nucleic acid and protein assays, microscopy/imaging techniques, animal studies, mammalian cell culture Preferred (not required, but an asset) skills: bioinformatic data analysis, R programming
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the McGill BioPortal. Develop and maintain reproducible analysis pipelines in R, Python, and shell on HPC / Slurm clusters and cloud environments (e.g., DNAnexus, Terra, AWS/GCP). Write first-author