2,515 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Michigan
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basic computer skills desired. Work Schedule This position is for all shift Night/Days/Eves Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion
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of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes
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Qualifications* Basic computer skills Course work in an Allied Health field. Previous patient care experience. Demonstrated interpersonal and problem-solving skills. Time management skills. Commitment to providing
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responsibilities in a fast-paced environment Demonstrated effective problem-solving skills Demonstrated proficiency with computer skills, Microsoft Office software, Outlook and other applicable platforms Ability
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, distribute, deliver and reconcile problems. Path Track - prepare, build list and bin specimens for transport to offsite labs, reconcile any outstanding bins. Computer Data Entry: Enter laboratory test orders
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, distribute, deliver and reconcile problems. Path Track - prepare, build list and bin specimens for transport to offsite labs, reconcile any outstanding bins. Computer Data Entry: Enter laboratory test orders
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); proven record of effectively learning and utilizing computer systems and technology Excellent customer service skills Desired Qualifications* Masters degree in respiratory therapy, science, education or
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data-driven decisions and strategic plans. Learning and understanding organ transplant and donation terminology, workflows, and data requirements is essential. The ability to translate and prepare
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EPIC. Computer/typing skills such as Microsoft Word and Excel Work Schedule Hours: 36 hrs Monday through Friday, 8- and 10-hour shifts with a Sunday requirement. Shift: Primarily days: Variable days
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of design and fabrication of medical devices, 3D printing, microfluidics, mechanics of materials, biomaterials, blood-material interactions, computer aided design, and/or in vitro/in vivo evaluation