17 postdoc-computational-biomedical-engineering Postdoctoral positions at McGill University in Canada
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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
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: The postdoc will work under the supervision of Prof. Jason M. Harley (supervisor) at McGill University. The position offers a unique postdoctoral training experience and publishing opportunities within a multi
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McGill University, Physics Position ID: McGill-Physics-POSTDOC [#30771] Position Title: Position Type: Postdoctoral Position Location: Montreal, Quebec H3A 2T8, Canada [map ] Subject Area: Nuclear
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. The incumbent is unionized if more than 25% of his salary is paid by McGill Research funds. Group C Unionized hold a dual status as both students and McGill employees, and are members of the AMURE (Postdocs
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. The incumbent is unionized if more than 25% of his salary is paid by McGill Research funds. Group C Unionized hold a dual status as both students and McGill employees, and are members of the AMURE (Postdocs
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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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: Designing and engineering nanostructures using computational methods Cconducting experiments to assemble and characterize DNA-scaffolded protein mimics Preparing manuscript for research articles Writing grant
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: Work on a research project in the general area of Materials and Structures reporting to Professor Damiano Pasini. Investigate and develop reprogrammable metamaterials. Computational design of
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development experience using Python, ROS2 and software engineering techniques. Extensive knowledge of ML, DL and RL tools, theory and applications. Before applying, please note that to work at McGill University
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subject received within the last 5 years. Applicants from other disciplines, including the quantitative social sciences, computer science, or engineering, with strong interest and commitment to learning