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Aparicio lab (https://aparicio.molonc.ca ). Located at the BC Cancer Research Institute, within the Department of Basic and Translational Research; Molecular Oncology, our interdisciplinary team is
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
multidisciplinary team Experience in research using relevant techniques will be an asset: cell or gene therapy culture ;Animal models of immune disease; Genome engineering Lipid nanoparticle technologies; Synthetic
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at the molecular and tissue level, and how its disruption contributes to hereditary cancers and pediatric malignancies (https://bcchr.ca/maxwell-lab ). Key areas include: Mechanisms of cell division fidelity
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Research Institute and UBC, investigates how cell division is regulated at the molecular and tissue level, and how its disruption contributes to hereditary cancers and pediatric malignancies (https
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regulated at the molecular and tissue level, and how its disruption contributes to hereditary cancers and pediatric malignancies (https://bcchr.ca/maxwell-lab ). Key areas include: Mechanisms of cell
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skills and expertise are necessary. In addition, depending on interest and experience, the postdoctoral researcher will also have to opportunity to conduct studies in cell and animal models. Working in a
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injury, and repair in experimental models of multiple sclerosis. Designing, implementing, troubleshooting, and optimizing experimental approaches. Developing and executing studies utilizing transgenic
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models to complement our expertise in cell biological and physiology. The research in the Department is also strengthened by our use of advanced imaging capabilities that includes EM, super-resolution, 2
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through publications, awards, or impactful contributions demonstrated particular analytical and/or experimental research creativity in the design, characterization, modelling, experimentation and/or systems
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, Bioinformatics, or a closely related field, with a demonstrated focus on quantitative modeling of cancer evolution and clonal dynamics using single-cell whole genome sequencing and/or longitudinal patient