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deep expertise in behavioral approaches to social science, including but not limited to the design and analysis of experiments. The researcher will be expected to work on topics related to misinformation
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deep expertise in computational approaches to social science, including but not limited to the collection and analysis of large amounts of data. The applicant will be intimately familiar with
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proficiency in at least one statistical software (e.g., R, Stata, SAS, Mplus) and desire and ability to learn additional software as needed (note: Dr. Kuiper regularly uses R, Stata, and Mplus simultaneously
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: Preferred Qualifications: Ability to follow a set procedure and ability to work both as a team and independently. Highly enthusiastic to learn new techniques. Ability to work under pressure to meet deadlines
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independently, learn actively, and function at a fast pace is key to success in this position. Ability to work under pressure to meet deadlines and to prioritize multiple tasks and demands. Excellent oral and
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for professional development include mentoring undergraduate and graduate researchers, contributing to grant proposals, conducting guest lectures, and learning advanced synchrotron spectroscopy techniques including
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Trustworthy AI Systems NSF Research Traineeship , the Digital Trade and Data Governance Hub , the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and
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Trustworthy AI Systems NSF Research Traineeship , the Digital Trade and Data Governance Hub , the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and