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foundational instruction in programming, data analytics, and data visualization for undergraduates across disciplines. Qualifications A Ph.D. or equivalent degree in fields related to computational or data
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intensive support in areas such as program design, implementation, monitoring and evaluation, capacity building, and data analysis. They will closely collaborate, coordinate, and communicate with key project
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descriptive reporting alone, is required Knowledge of GA4 and UTM-based attribution, strong Excel and data visualization skills (Tableau, Power BI, or similar), and the ability to translate complex data
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in qualitative data collection and coding. Maintenance of project databases and disbursement of participant incentives. Support the PI and Co-I in data analysis and report generation. Convene meetings
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. Supporting qualitative research, including carrying out data collection and data analyses as well as the management of research projects. Drafting qualitative research protocols and data analysis presentations
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experience leveraging generative AI tools in real-world communication workflows (such as transcription, data analysis, copywriting, or visual design assistance). ● Familiarity with Content Management
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and 5+ years of experience in research and policy analysis including familiarity with interpreting and visualizing data, OR Masters’ degree in relevant field and 2+ years of experience in research and
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, operational reporting, and data interpretation skills. Experience with portfolio reporting, dashboards, operational data analysis, or data visualization tools preferred. Advanced Microsoft Excel skills
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healthy volunteers Assist with experimental design, programming, experiment setup, and data analysis volunteers Conduct behavioral, fMRI, and brain stimulation experiments in stroke patients and healthy
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familiarity with data analysis tools Ability to work independently and manage multiple assignments with competing deadlines Commitment to 10-15 hours per week with an expected total of 60 hours per month