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Oceania. The ICCRP is funded by a seven-year Social Sciences and Humanities Research Council (SSHRC (external link) ) Partnership Grant, as well as a five-year Ontario Research Fund - Research Excellence
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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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, and work in collaboration with other team members; Train new graduate students; Contribute to group duties and help others; Qualifications: PhD in Chemistry Before applying, please note that to work
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science, SECCM, and electrochemical instrumentations. Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and
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and Science of Ukraine United Kingdom UK Research and Innovation United States Agence universitaire de la Francophonie (AUF) Other eligible countries and regions The program supports travel and research
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, optogenetics, and computational methods, this project aims to elucidate how prefrontal cortex neurons form short-term memories of reward to guide an animal’s actions. The research will examine interactions
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Experimental Subatomic Physics, Electronics Engineering, or related fields. Relevant research experience with digital electronics and firmware programming. Excellent verbal and written communication skills in
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 13 hours ago
University of British Columbia, Quantum Science and Technology Laboratory Position ID: University of British Columbia -Quantum Science and Technology Laboratory -PDF [#30330] Position Title
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Weidberg Laboratory | Department of Cellular and Physiological Sciences | Faculty of Medicine Compensation Range $4,333.86 - $5,155.61 CAD Monthly Posting End Date August 12, 2025 Note: Applications will be
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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