1,688 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FCiências" positions at University of Michigan in United States
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, and staff. Applies principles of continuous process improvement to enhance daily operations. Maintains departmental reports and records, and collects statistical data for administrative and regulatory
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provide clinical leadership and insight to the selection, configuration, training, and optimization of the information systems of Michigan Medicine as well as maximize the efficacy of these systems toward
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strategy. You will also lead efforts to modernize compensation processes, enhance manager self-service capabilities, and improve decision-making through data and technology. This is a highly visible role for
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qualitative analysis of collected data. Contribute to developing written reports summarizing findings. Conduct analyses using landscape analyses, literature reviews, survey or claims data analyses (primary
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Support Unit (O-CTSU) providing administrative study coordination and data entry support to faculty and research teams for the University of Michigan Rogel Cancer Center - an NCI-Designated Comprehensive
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consultation case sample receipt and data entry into Department of Pathology Laboratory Information and tracking systems. Unpack, verify, and record contents and condition of received patient assets and
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referrals and diagnostic testing, cash collection via Cadence/EPIC. The position includes the responsibility of verifying accurate insurance, guarantor, primary care and referring physician information
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participants to better understand how bipolar disorder unfolds over time. Combining clinical information, treatment experiences, overall health data, and genetic insights, the study helps identify patterns in
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Apply Now How to Apply Required application materials include a cover letter and resume (submitted within a single pdf or doc). The resume should include names and contact information for at least
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, blood-material interactions, 3D printing, computer aided design, and in vitro and in vivo evaluation of artificial lung technologies. Experience in testing extracorporeal life support systems or related