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Support: 1. coordination of and assisting in diverse data acquisitions (MRI, EEG, cognitive testing, specimen collection) 2. data transfer, quality control, open science activities. 3. coordinating
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Job Category CUPE 116 Job Title CUPE 116 Research Assistant Tech 2 Department Taghipour, Fariborz | Department of Chemical and Biological Engineering | Faculty of Applied Science Posting End Date
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of Chemical and Biological Engineering | Faculty of Applied Science Compensation Range $4,426.00 - $4,845.00 CAD Monthly Posting End Date May 30, 2025 Note: Applications will be accepted until 11:59 PM
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link) on Twitter, and visit our LinkedIn company page (external link) . About the program/department/team The Modern Literature and Culture (MLC) Research Centre is seeking an enthusiastic and
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, involving clinicians and patients/caregivers. The Education Working Group is an ongoing program of outreach and education for clinicians and the public in BC, providing up-to-date, evidence-based, practical
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has a co-design approach, involving clinicians and patients/caregivers. The Education Working Group is an ongoing program of outreach and education for clinicians and the public in BC, providing up
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McGill University | North Peel Regional Municipality Kleinburg, Ontario | Canada | about 2 months ago
: To do research and co-write on the impact of systems science and complexity Qualifications: -- Possesses specialized knowledge of the field or discipline acquired through a Master’s Degree. Before
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
Faculties of Engineering, Computer Science, and Science. The PDF will perform cutting-edge research to develop advanced Decision Support Systems (DSS) to support sustainable human uses of ocean spaces. This
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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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pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud computing and/or high-performance computing (HPC) environments