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existing data (i.e., publications and presentations) as well as launching new research. Develop and maintain bioinformatics pipelines for bulk and single-cell RNA sequencing, cell-free RNA, DNA
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Fellow- Biophysical Chemistry Department Research | Li Lab | Department of Chemistry | Faculty of Science (Hongbin Li) Posting End
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-based research which includes dissemination of existing data (i.e., publications and presentations) as well as launching new research. Contribute to prospective clinical studies and laboratory
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international research program dedicated to uncovering the mechanisms of immune-mediated diseases of the nervous system through human discovery science. Embedded within an extensive interdisciplinary network of
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Science (David Chester Upham) Job End Date November 30, 2027 Posting End Date November 29, 2026 Note: Applications will be accepted until 11:59 PM on the Posting End Date. The expected salary for
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Biological Engineering | Faculty of Applied Science Compensation Range See details below. Job End Date November 30, 2027 Posting End Date November 29, 2026 Note: Applications will be accepted until 11
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contribute to hereditary cancers and pediatric malignancies (https://bcchr.ca/maxwell-lab). Key areas include: • Mechanisms of cell division fidelity, spindle orientation, and cell polarity • Role of
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epithelial – immune interactions that contribute to hereditary cancers and pediatric malignancies (https://bcchr.ca/maxwell-lab). Key areas include: • Mechanisms of cell division fidelity, spindle orientation
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molecular and tissue level, and how its disruption alters epithelial – immune interactions that contribute to hereditary cancers and pediatric malignancies (https://bcchr.ca/maxwell-lab). Key areas include
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Dalhousie University | Halifax Mid-Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
the existing model, quantitative risk model development and analysis, simulation, uncertainty analysis, and the evaluation of model performance using operational and observational data. The