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Field
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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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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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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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Subject 2017). This Research Assistant post offers an exciting opportunity to play a key role in research into identifying the genetic causes of inherited retinal disease in a highly successful and dynamic
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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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. 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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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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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
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supervision of a postdoctoral fellow to study breast cancer initiation and progression using a newly developed mouse model of breast cancer together with primary patient samples. You will additionally learn a