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biology, molecular biology, genetics, biomedical engineering, or a closely related discipline. Ph.D. within 5 years or M.D./D.D.S. within 10 years Demonstrated research excellence through peer-reviewed
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-technology. Topics to be explored include but are not limited to ethical considerations in emerging reproductive technologies, genetic alteration/genetic enhancement. Use of life support technologies
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Lunenfeld-Tanenbaum Research Institute | Central Toronto Roselawn, Ontario | Canada | about 1 hour ago
developmental origins of health and disease. We welcome applications exploring the molecular, cellular, and genetic mechanisms that drive early development and stem cell dynamics. Research approaches and
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, including drug-resistant epilepsy, genetic epilepsies, ketogenic-diet therapies, and the full presurgical and surgical pathway from referral and multidisciplinary review through SEEG, surgery, and clinical
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(mbim.ubc.ca ). The Michael Smith Laboratories provides a highly interdisciplinary and collaborative research environment that supports faculty with focus in genomics, molecular biology, engineering, and
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, Course Abbreviation & Number: 102 (Biology for Engineers, T1), 120 (The Nature of Life), 121 (The Diversity of Life), 222 (The Living Plant, T2), 224 (Animal Body Systems), 226 (Genes to Genomics), 228
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chemical engineering program west of Ontario. CHBE ( http://www.chbe.ubc.ca ) consistently ranks among the top departments in the world, having delivered over its more than 100-year history impactful
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mammary epithelial cell systems · Mouse and genetically engineered cancer models · High-content and live-cell imaging · Tumor evolution and therapeutic response modeling Research
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childhood cancer The lab has extensive expertise in: · Human primary mammary epithelial cell systems · Mouse and genetically engineered cancer models · High-content and live-cell imaging
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: · Human primary mammary epithelial cell systems · Mouse and genetically engineered cancer models · High-content and live-cell imaging · Tumor evolution and therapeutic response modeling