17 Computer-Science-"https:" "https:" "https:" "https:" "https:" "https:" research jobs at University of Notre Dame
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required. Qualifications Required: Currently enrolled undergraduate student, any major Coursework in statistics, econometrics, computer science, or analytics Working proficiency in Python or R
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closely related field. For more details about the Department of Mathematics, please see https://math.nd.edu/ . Application Instructions Applications should include: * a cover letter, * A current
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you! Job Description Applicants must apply through Interfolio at https://apply.interfolio.com/182627 . Applications submitted through any other platform will not be considered. This position is posted
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University offices to ensure awards are administered in accordance with Initiative and University policy. Qualifications Education Master’s degree in Social Sciences, Public Policy, Science, or Engineering; or
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, Indiana Benefits page: https://hr.nd.edu/benefits-compensation/ The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The
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, Indiana Benefits page: https://hr.nd.edu/benefits-compensation/ The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The
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research in cognitive neuroscience, experimental psychology, computer science, and related fields. The role promotes best practices in neuroimaging methodology, data stewardship, and research
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program management to support high-impact interdisciplinary research in cognitive neuroscience, experimental psychology, computer science, and related fields. The role advances best practices in
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Qualifications M.A./M.S. in Physics, Engineering, Computer Science, or related discipline Demonstrated ability to develop, modify, and test MR pulse sequences on a research MRI platform, with significant
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. in Physics, Engineering, Computer Science, or related discipline Demonstrated ability to develop, modify, and test MR pulse sequences on a research MRI platform, with significant knowledge of MRI