1,808 data-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Minho" positions at University of Michigan
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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
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reporting dashboards. You?ll evaluate and improve existing reporting tools, gather stakeholder requirements, and implement enhancements to streamline workflows through data modeling, validation, and change
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highly qualified, self-motivated post- doctoral fellow to join our research program in computer-aided diagnosis and AI (CAD-AI). Responsibilities* The research will involve development of decision support
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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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that works under supervision and follows standard procedures to accomplish assigned tasks. Responsibilities* Manipulate vendor files and upload to vendor websites Validate data for dashboards, vendor use etc
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problem-solving skills Strong written and verbal communication skills Ability to handle confidential information with discretion Proven ability to work independently and collaboratively in a dynamic
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the development, installation, and maintenance of computer programs for business and/or scientific applications. This role provides overall leadership for a recognized applications programming function, including
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at Michigan Medicine. You'll collect, organize, and analyze data to help leaders make informed strategic decisions and improve clinical processes. You'll design dashboards and reports, and ensure data is
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: Scientific Concepts and Research Design Ethical Participant Safety Considerations Investigational Products Development and Regulation Clinical Study Operations (GCPs) Study and Site Management Data Management
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Reporting (CQR) team is part of the Michigan Medicine (MM) Quality Department and provides data abstraction services for a wide range of MM projects, including core measures, Collaborative Quality Initiatives