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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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. 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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that postdoctoral researchers receive the guidance and resources necessary to thrive in both academic and applied research settings. Qualifications: PhD in Neuroscience, Psychology, Psychiatry, Biomedical Engineering