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blends hardware, software, design, and human-centered computing to push the boundaries of how humans interact with technology. This is a paid internship opportunity. As an intern, you will: Collaborate
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critique, demonstrate interaction design methods and guide students through team projects. Outside of class adjunct faculty coordinate with co-teachers, learn to use Canvas to grade student projects and edit
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and analysis of research data and such other tasks that are assigned to you. Responsibilities: Assist with software development for electromyography studies Assist with data analysis, including signal
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pipelines to automate software deployment for enterprise applications using tools such as Jenkins, GitHub Actions, or GitLab CI/CD. Develop and maintain hybrid cloud and on-premise infrastructure leveraging
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), and industry partners. This will include organizing weekly meetings with students, providing guidance on methods and communication that is relevant to real-world sports data scientists. Flexibility
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and analysis of research data and such other tasks that are assigned to you. Responsibilities: Assist with software development for electromyography studies Assist with data analysis, including signal
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depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection
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digital forms (e.g. spreadsheets, databases, and project management software and collaboration tools). Maintain a repository/catalog of research outputs. Tracks and supports research compliance requirements
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: Bachelor's Degree in Computer Science, Data Science, Computer Engineering or a similar field Solid experience with Python programming and software development Experience in developing Python notebooks using
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academic advising/counseling for the PhD program. This is a great opportunity for someone to work in a creative, dedicated, driven team, in a collaborative environment committed to technical innovation