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activities. General Responsibilities Performs financial and administrative tasks related to processing financial or other administrative records, with minimal supervision. Takes on more complex assignments and
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Position Summary The Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington invites applications for a visionary leader to serve as Chair of the Department of Intelligent
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the interpretation of complex rules Ability to ensure that analysis and decision-making is consistent This role requires the ability to effectively communicate and to operate a computer and other standard office
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analysis of existing data and data structures and satisfies ad-hoc reporting/analysis requests; serves as a first point of escalation for junior analysts. Creates reporting specifications for complex reports
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Required 2 years of related office experience Preferred 2 years of experience handling complex customer service situations in a university setting Experience with federal regulations governing international
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applied research center at Indiana University (IU) Indianapolis in the Luddy School of Informatics, Computing, and Engineering. We partner to use data and research for community good. Polis makes place
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(i.e. IACUC, IRB, chemical safety, radiation safety, and controlled substances) Serves as a resource to other laboratory personnel Participates in the tabulation and computation of project results
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of a strategic recruitment plan for an assigned territory by fostering awareness, promoting the institution, and supporting the university's academic program offerings. Recruitment area will primarily
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; experience using electronic platforms to perform various tasks Demonstrates experience solving problems with independent thought Proficiency in computer systems, including standard Office software; advanced
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professionals, employers, and community advocates, the Bowen Center contributes to analyzing complex health workforce issues and informing related policy and programming. Performs data collection, data analysis