2,506 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at University of Michigan in United States
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highly skilled instrument team provides custom scientific apparatus from metal and plastic. The facility also houses the Student Shop where students learn to physically use machine tools to create
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enrich the future. The University of Michigan is committed to foster learning, creativity and productivity, and to support the vigorous exchange of ideas and information, not only in the classroom but in
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or manage actual/potential patient problems in the clinical oncology setting. Identifies patient/family learning needs and ensures that they are met. Serves as a patient advocate. Works with the various
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data entry, coding, tabulation, and preliminary analysis to support research objectives. ? Set up, maintain, and operate laboratory equipment and computer-based research or programming systems
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, higher education and intercollegiate athletics. Recruiting experience and knowledge. Must possess excellent communication and organization skills. Must possess excellent computer and social media skills
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across a variety of injury prevention topics, increasing health knowledge and accessibility Secure and manage grant funding, strategically allocating resources (e.g., car seats, home safety kits) to meet
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that supports the Foot/ankle and Hand services. The successful candidate will be required to actively participate in the department's Lean initiatives, Service Excellence programs, maintain M-learning compliance
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* Professional Responsibilities: Work with internal and external departments for the scheduling of hands-on learning courses in the simulation center of the OR Training Center (ORTC) and/or the Simulation Center
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and intercollegiate athletics. Recruiting experience and knowledge. Must possess excellent communication and organization skills. Must possess excellent computer and social media skills. Must be able
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., difference-in-differences, instrumental variables, propensity-score methods) and selected machine-learning algorithms. Write reproducible code in Stata, R, SAS, or Python; summarize and interpret results