2,747 data-science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Newcastle-University" positions at University of Michigan
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Skip to main content Social Science Data Analyst Intermediate Apply Now How to Apply A cover letter and resume are required for consideration for this position; include the cover letter as the first
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/or support systems that maintain or process sensitive institutional data as defined by university policy. Successful candidates must comply with federal, state, and local law, and/or university
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Science, Information Science, Engineering, or a related field, or an equivalent combination of education and professional experience. 6+ years of professional data engineering experience building and
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Skip to main content Health Data Analyst Apply Now How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover
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and Business Intelligence Team within the Center for Academic Innovation (CAI) at the University of Michigan drives CAI's data strategy, ensuring that data is used responsibly, ethically, and securely
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and scientific projects Required Qualifications* Master's degree or higher in computer science, data science, computer engineering, biomedical engineering, bioinformatics, informatics, or a related
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that make up the National Neighborhood Data Archive, and will support their construction. The position prepares NaNDA datasets for public release through the University of Michigan's Inter-university
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systems Collaborate with the Office of Institutional Analysis and other university partners to identify and obtain institutional data necessary for accreditation and program evaluation. Assessment
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member of the AI & Digital Health Innovation (AI&DHI) initiative at the University of Michigan, working within the Data & AI Solutions team and collaborating with partners across campus. This role is
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the University of Michigan Medical School Office of Research's (OoR) cutting edge data infrastructure for research. We are a collaborative, results-driven, innovative, group made up collectively of IT