Posts Tagged: Molecular Engineering

11 BME faculty members receive a combined $500,000+ funding from NSERC 

The Discovery Grant program is dedicated to supporting researchers as they venture into new territories to find solutions to pressing issues such as environmental protection, food security, and sustainable construction in cold climates. It aims to promote and maintain a diverse and high-quality research capability in the natural sciences and engineering at Canadian universities, foster research excellence, and provide a stimulating environment for research training.

Seven BME members receive Joint Seed Program funding for interdivisional research

Initiated in 2015, the Joint Seed Program is an interdivisional research funding program designed to promote multi-disciplinary research and catalyze new innovative partnerships between researchers from the Faculty of Applied Science and Engineering and those from outside of Engineering. The recipients for this year will undertake unique and innovative research initiatives ranging from developing bioinoculant strategies to equitable healthcare and advanced imaging techniques.

Four Biomedical Engineering Faculty Members Secure CIHR Funding for Research Projects

Four esteemed faculty members from the Institute Biomedical Engineering (BME) at the University of Toronto have successfully secured funding from the Canadian Institutes of Health Research (CIHR) through the Project Grant Program’s fall 2023 funding cycle. The CIHR funding will support their cutting-edge research projects aimed at advancing health-related knowledge and outcomes.

Revolutionizing Microbial Single-Cell Sequencing: DoTA-seq Unveils a Simple Yet Powerful Method 

In a recent study, a research team led by Dr. Freeman Lan has developed a method for single-cell genetic profiling of microbes. The findings, published in Nature Methods, introduce a robust and easily adaptable droplet microfluidics workflow named DoTA-seq (Droplet Microfluidics for Targeted Amplification Sequencing), providing a scalable solution for studying single-cell heterogeneity in microbial populations. 
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