1,763 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IRIBHM-ULB" positions at University of Michigan
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Services & Analysis Office. Together, these teams provide the necessary support to position our researchers for success. The Medical School Grant Services & Analysis Office handles the MM data capture
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. The position will focus on developing computational algorithms and tools for the analysis of mass spectrometry-based proteomics data. Research projects will center on advancing the FragPipe computational
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. Responsibilities* Planning and execution of research experiments in mice and human induced pluripotent stem cells and cardiomyocytes with minimal supervision. Analysis of data using statistical software as
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the School of Information, College of Engineering, and Michigan Department of Health and Human Services. The University is providing public health data analysis, visualization platforms, and modeling for use
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of the quality metric monitoring required to achieve and maintain certification. This includes, but is not limited to all data elements for certification by the Joint Commission such as: Compliance monitoring
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on existing and new projects related to data management, data analysis, and data visualization. The ideal candidate should have experience with statistical software such as Stata and R, as well as skills in
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. The Benefits Administrator Intermediate evaluates employee eligibility, analyzes job data, coordinates with insurance providers and internal stakeholders, and guides employees through the claims process with
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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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, including appeals such as Satisfactory Academic Progress (SAP), and develops consistent, effective training frameworks for new and continuing staff. The position ensures that financial aid information is
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deploy an AI-powered search proof of concept for ticket analysis. The role involves data review, testing, documentation, and project coordination while providing hands-on experience with real-world