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Observatory at McGill University is seeking applications for part-time Undergraduate Research Assistants to support monitoring the digital information ecosystem (social media and news outlets) during
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of Computer Science (Prof. Ruth's Lab) Assists with developing research code and documentation Developing resources for competitors in the Bot or Not competition Prepare and collect social media datasets intended
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Observatory at McGill University is seeking applications for part-time Undergraduate Research Assistants to support monitoring the digital information ecosystem (social media and news outlets) during
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secondary sources from law and other fields in the social sciences and humanities, and attend biweekly/monthly meetings (in person or virtual) to share and discuss results. Successful candidates could also
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, and social networks for affective relations in social and environment sustainability work. Qualifications required: You are pursuing an MA or PhD degree in Education, Environment, Science, or
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previous experience conducting qualitative social science research with human participants. Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and
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of reports/outputs as needed. Qualifications: Some previous experience either conducting qualitative social science research or successful completion of a relevant research methods course preferred. Before
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: Department of Biology (Professor Jennifer Sunday) Position Summary: Digitizes research data currently existing in scanned paper records. Develops template for research data entry. Implements the research data
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subject received within the last 5 years. Applicants from other disciplines, including the quantitative social sciences, computer science, or engineering, with strong interest and commitment to learning
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, generating insights, and preparing reports. Qualifications: Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Social Sciences). Experience with data analysis tools (e.g., Excel, R, Python