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: Investigation of Multistable Dissipative Metamaterials. Carry out a theoretical, computational and experimental investigation of Multistable Dissipative Metamaterials. Map the design space with respect
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training and guidance to junior undergraduate and graduate students. Education: A PhD in Neuroscience, Computational Neuroscience, Machine Learning in image analysis, or a related field, with significant
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@ECItorontomet (external link) on Twitter, and visit our LinkedIn company page (external link) . About the program/department/team Dr. Okafor’s research interests lie primarily in tax compliance, accountability
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candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons
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diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part
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diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part
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equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 months ago
in biomedical engineering, physics, computer science, optical engineering, opto-mechanics, or microscopy; or alternatively have demonstrated proficiency in developing microscopy or optics tools as
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the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities
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: - To lead the computational part of a collaborative project on AI-assisted design of OPVs - To become knowledgeable in the field of OPVs and the relevant simulations - To learn relevant machine learning