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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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. INTERACT is co-led by Daniel Fuller (University of Saskatchewan), Yan Kestens (Université de Montréal), and Meghan Winters (Simon Fraser University). To learn more about our research program, visit
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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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process design, computational modeling, and techno-economic analysis. The start date for the position is 1 October 2025, or shortly thereafter. The salary for the position is $50,000 per year. We encourage
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progress updates for SSHRC Qualifications PhD (awarded within the last 5 years) in Entrepreneurship, Strategic Management, Organizational Studies, Information Science, or related field Demonstrated expertise
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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