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Field
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necessary conditions for a rewarding career. Job Summary BC’s Gynecologic Cancer Initiative is a dynamic interdisciplinary team dedicated to pioneering research that transforms how we prevent, diagnose, treat
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of a dynamic team at the Leicester Cancer Research Centre, working on projects involving microfluidic-based enrichment of circulating tumour cells (CTCs), genomic analysis of extracellular vesicles
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these in vivo using established models in combination therapy approaches including the use of immune checkpoint inhibition and other antibody targets. The lab is well funded by the Academy of Medical
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expertise in conducting and analyzing scientific experiments involving rodent models and in basic molecular biology approaches. They should have a broad (college-level) knowledge of biochemistry, cell biology
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. About the Role Your role will be to develop novel methodologies for qualitative and quantitative pollinator monitoring using a combination of AI and molecular methods. You will work with multiple academic
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water samples as part of routine monitoring for SARS-CoV-2 and other human pathogens. The candidate will also contribute to the development and validation of novel molecular methods for pathogen detection
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effective learning environment; UV-Visible Spectroscopy (UV-Vis) for quantitative analysis of solutions, Fourier Transform Infrared Spectroscopy (FT-IR) for molecular structure determination, and Goniometer
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. A bachelor’s degree in biology, chemistry, biochemistry, bioengineering or a closely related field. Recent laboratory research experience Preferred Qualifications: Experience with biology, molecular
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developmental biology and stem cell biology to prostate cancer research. We use genetically engineered mouse models, explant cultures, and 3D organoid culture systems to study androgen signaling during prostate
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Subramaniam Laboratory | Department of Biochemistry and Molecular Biology | Faculty of Medicine Compensation Range $4,567.04 - $5,385.67 CAD Monthly Posting End Date June 5, 2025 Note: Applications will be