268 data-"https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs in Canada
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. They will review, clean, and analyze socio-economic data collected from farmers and commodity groups. Organizational Status This position reports to the ACARN Network Manager (a UBC staff position) and works
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the DINOSAUR, RPT904-01, and GHL-102 studies. The Research Assistant will perform tasks such as: recruitment, scheduling participant visits, sample collection, data collection and data entry, ethics applications
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Research Assistant 2 position is based in Prof. Amin Emad's research lab in the department of Electrical and Computer Engineering. The RA 2 will work in collaboration with the Research Supervisor to develop
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official information, regulations and procedures, visit the Banting website . To access the Vanier-Banting Academic CV template, visit the Canadian Common CV (CCV) site. Updated Thursday, July 3, 2025
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Description Summary We are seeking a highly motivated research assistant to join the Glegg ‘Knowledge to Action’ Laboratory to support data gathering, analysis and knowledge mobilization tasks, primarily
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-field 9.4T MRI systems. Key responsibilities include operating specialized equipment, assisting in the design and modification of testing fixtures, and performing quantitative data analysis, including
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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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responsibilities will include: Conducting literature review Analyzing data collected for publications and/or presentations use Liaising with agencies, collaborators, industry sponsors, faculty and other stakeholders
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in Prof. Reza Salavati's lab, at Macdonald Campus, McGill University. Position Summary: The postdoc will contribute to the D2R (Data-to-Reality) applied research program aimed at developing novel data
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: The research assistant 1 will be responsible for developing detailed data analysis plans, data preparation (linkage between data sources, clean up, operationalization of intermediary and outcome measures, and