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, 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 inspired by recent
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at the Lunenfeld-Tanenbaum Research Institute (LTRI). LTRI investigators are global leaders in network and systems biology, developmental and cellular biology, endocrinology, structural biology, and data science
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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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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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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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. Data and analysis: Maintain accurate experimental records and contribute to analysis of imaging, treatment, and biological data, including relevant tissue processing and histology. Platform evaluation
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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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Funding competition to support two StrokeGoRed post-doctoral fellowships focused on sex- and gender-based analysis in stroke. StrokeGoRed is excited to launch a new national training competition
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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