248 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "Univ" research jobs in Canada
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. This role involves gathering background information, assisting with proposal writing, and contributing to the development of a clear, compelling case for funding. Main Responsibilities: Conduct background
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appropriate. Please note that the review panel will take into consideration whether consumers are involved and to what extent. For more information on consumer engagement, you can download Arthritis Society
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. · Assist with data collection, data entry, and preliminary analysis. · Perform other related duties as required. Consequence of Error/Judgement Depending on the phase of an experiment
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of ecosystem-atmosphere fluxes. The role also supports reliable solar power management and data telemetry at field sites, and provides technical training and guidance to graduate student researchers
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Research Assistant 1 position is based in Prof. Narges Armanfard's research lab in the department of Electrical and Computer Engineering. This Research Assistant role supports the development of AI-based
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, amendments, and renewals Educate study participants on protocol requirements, schedules, and data collection tools. Monitors study subjects for outcome events appropriately and report as specified in study
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learning tools. Report on clinical applicability and write manuscripts for peer-reviewed journals. Collaborate with computer and mechanical engineering graduate students and researchers. Identify gaps in
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written communication skills - Demonstration of detailed record-keeping and data documentation - Strong interpersonal skills, including maintaining professional working relationships within a diverse
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the supervision of the Research Supervisor, the Research Assistant 1 will be assisting with digital intervention tool development and refinement. Position Summary: Enhancing our data governance framework; Debugging
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enhance provincial capacity to tailor care approaches in response to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a