26 parallel-and-distributed-computing "Multiple" research jobs at American University
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meaningful change in the world. Learn more about American University Department: College of Arts & Sciences Time Type: Full time Job Description: The Department of Computer Science in the College of Arts and
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quantitative research projects. Help design and run computational analyses in support of systematic literature reviews and empirical studies. Contribute to data cleaning, coding, and validation across multiple
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, data analytics, and contemporary AI tools, including generative AI. Ability to conduct structured literature and technology reviews. Strong organizational skills with the ability to manage multiple tasks
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teams in interpreting and contextualizing findings, and providing support for program evaluations of interventions and PERIL initiatives. Determine content for research reports and briefs with significant
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literature review. Strong interpersonal skills for interacting with students, faculty, and staff. Effective organizational and time management skills. Ability to handle multiple tasks and deadlines
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presentations. Additional Eligibility Qualifications: This position is available only to enrolled American University students. Approximately 280 total hours of work distributed over the summer field season (May
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to handle multiple tasks and deadlines simultaneously. Preferred Education and Experience: Previous research experience is an asset. Other Details This position is available only to enrolled American
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analysis, and literature review. Strong interpersonal skills for interacting with students, faculty, and staff. Effective organizational and time management skills. Ability to handle multiple tasks and
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methodologies, data analysis, and literature review. Strong interpersonal skills for interacting with students, faculty, and staff. Effective organizational and time management skills. Ability to handle multiple
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for interacting with students, faculty, and staff. Effective organizational and time management skills. Ability to handle multiple tasks and deadlines simultaneously. Preferred Education and Experience: Previous