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The Mobilizing Insights in Defence and Security (MINDS) program of the Department of National Defence (DND) is committed to fostering the next generation of security and defence scholars in
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. Qualifications: A doctoral degree in epidemiology Knowledge of advanced epidemiologic methods Strong data manipulation and analytic skills using statistical programming software, e.g., SAS Demonstrated ability
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: 2025-07-01 Position End Date: 2026-06-30 Deadline to Apply: McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications
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efforts to model nitrous oxide emissions reduction. Qualifying skills: We seek a candidate with experience working with quantitative and/or spatial data, including familiarity with programming environments
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position with a focus on quantum optics is available. Research Area: Quantum Optics Application Deadline: TBD Our research project focuses on the cutting-edge development of next-generation quantum light
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, the applicant will have the opportunity to be involved in ongoing projects, e.g. development of novel strategies for anti amyloid-beta immunotherapy. The applicant will employ a range of molecular cloning and
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determine whether APP editing can reduce pathogenic effects caused by amyloid-beta. In addition to gene editing, the applicant will have the opportunity to be involved in ongoing projects, e.g. development
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 7 days ago
diversity Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications
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applications from members of groups that have been historically disadvantaged and marginalized, including First Nations, Métis and Inuit peoples, Indigenous peoples of North America, Black-identified persons
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on campus, so candidates with Canadian status will be given preferences. Qualifications: A PhD degree in Economics, Marketing, Biostatistics/Statistics, or a related field, strong computing/programming and