2,582 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at University of Michigan
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creative problem-solving skills Proficient computer and keyboarding skills Excellent attendance. Why Join Michigan Medicine? Michigan Medicine is one of the largest health care complexes in the world and has
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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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for HHMI business and UMich business. Assist with monthly university computer compliance and annual HHMI equipment inventories. Direct requests to proper lab members and keep lines of communication moving
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* Some experience working with patients in ohysical or occupational therapy Ability to understand and communicate information in both verbal and written format. Competency in basic computer skills Ability
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, department, medical school and university administration, and sponsors; Effective verbal and written communication skills; Strong computer skills including Microsoft Office Qualified candidates are adept
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repair steam, condensate, and water lines, equipment, radiators, traps, valves, pumps, gauges, controls, fittings and accessories. Cut pipe and thread, using threading machine or other mechanical method
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correspondence. Systems and technological orientation with strong working knowledge of computer systems and expertise with Google Suite (docs, forms, sheets, g-mail), Word, Excel, and PowerPoint. Innate curiosity
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Electrical & Computer Engineering (ECE) at the University of Michigan is hiring a Director of Strategic Initiatives. The selected candidate will work with ECE leadership and other stakeholders to contribute
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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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, 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