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Performed: · Design, implement, and conduct independent research projects in computational biology and translational bioinformatics. · Identify molecular pathways, disease mechanisms, therapeutic targets, and
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. · Analyze, integrate, and interpret genomic, transcriptomic, proteomic, imaging, and other high-dimensional biological datasets. · Develop reproducible computational workflows and data visualization
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than December 1, 2026. The position is full-time for one year with the possibility of extension subject to work performance, funding availability and compliance with UBC policies. At UBC, we believe
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and organoid platforms, genome engineering technologies, advanced microscopy, spectral flow cytometry, single-cell and spatial genomics, proteomics and biomarker laboratories, and high-performance
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across maternal and neonatal cohorts. The Fellow will be encouraged to develop independent research questions aligned with the program and lead high-impact publications and grant applications. the Fellow
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toward personalized medicine approaches in pediatric and hereditary cancers The lab has extensive expertise in: • Human primary epithelial cell systems • Mouse and genetically engineered models • High
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hereditary cancers The lab has extensive expertise in: • Human primary epithelial cell systems • Mouse and genetically engineered models • High-content and live-cell imaging • Tumor evolution and therapeutic
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an industry partner. Experience with research software, data pipelines, and simulations, machine learning, high-performance computing, CANFAR, or advanced data systems. Evidence of mentoring or supervising
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-performance computing, reproducible workflow development, version control and collaborative data-science practices. Salary The expected salary range for this position is CAD $70,000 to $75,000 per annum at 1.0
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observations and field data collection. Strong competence in data preparation/analysis/visualization with Python, R, or a similar scripting and visualization language. Experience with high performance computing