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expertise/interest in Bayesian methods for addressing measurement error. Ideally PhD within the last 5 years. Advanced level experience with R, desired knowledge of Nimble, Overleaf. Excellent communication
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link these to mechanical properties. To be done in partnership with Hydro-Québec. The potdoc will develop both advanced computing and numerical analysis skills, as well as acquire new knowledge in
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: - Development of pro-drug of existing BRaf inhibitors - Synthesis and biological evaluation of BRaf inhibitors - Application of software for drug design - Learn to lead and manage projects - Oversee graduate
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
for beta-cell research. For those interested, there is also an option to learn and use in vivo diabetes models. Collaborative and Supportive Environment: You will collaborate closely with experienced
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. Leadership & Learning: Building the next generation of crisis leaders through our Pandemic Fellows Program and global network. Convening & Collaboration: Creating space for interdisciplinary exchange through
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. Work closely with collaborators to align imaging, molecular, and therapeutic validation efforts. Qualifications PhD in Computational Biology, Genomics, Neuroscience, Biomedical Engineering, or related
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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. To learn more about our work environment, colleagues, leaders, students and innovative educational environment, visit www.torontomu.ca , check out @TorontoMet (external link) , @TorontoMetHR (external link