76 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at McGill University
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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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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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analytical approaches. Analyzes and interprets research data and disseminates the results, including the preparation of formal research reports and documentation related to simulation-based research activities
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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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assistant will supporting in conducting and writing the data for youth projects involving community partnerships, as well as communication with the partners. Hourly Salary: $25.00 Hours per Week: 5 (Part time
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techniques. Interpret complex analytical data and synthesize findings to contribute to research discussions and the preparation of technical reports for the Principal Investigator. Maintain accurate and
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in data collection, data coding and data interpretation, as well as present the core findings to stakeholders. Hourly Salary: $18.60 Hours per Week: 1 (Part time) Location: Sherbrooke 550 Supervisor
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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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assistant will work primarily in person at the Department of Family Medicine in Montreal. Main Duties & Responsibilities: Support data analysis: survey data, fuzzy cognitive mapping, focus groups, interviews
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, and document issues related to: Voice-to-text data entry and transcription workflows Image-to-image transformations and ML-based visual processing Negative prompting and prompt-engineering behavior