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electronic health records) and developing computational models. Establishes frameworks for data modernization, integrating metadata and varied datasets to create databases suitable for cross-disciplinary AI
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accordance with processing guidelines outlined by the grant program. The position requires knowledge of current archival description and structure standards, knowledge of and experience with metadata standards
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problems encountered in research settings. Responsibilities of the position evolve as the library environment continues to change. REQUIRED QUALIFICATIONS: • MLS/MLIS degree from an ALA-accredited program
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deploying substantial resources in hiring new faculty, expanding our staff network supporting our operations, developing new facilities including both laboratory and computing resources, and expanding our
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deploying substantial resources in hiring new faculty, expanding our staff network supporting our operations, developing new facilities including both laboratory and computing resources, and expanding our
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deploying substantial resources in hiring new faculty, expanding our staff network supporting our operations, developing new facilities including both laboratory and computing resources, and expanding our
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deploying substantial resources in hiring new faculty, expanding our staff network supporting our operations, developing new facilities including both laboratory and computing resources, and expanding our