2,062 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Michigan
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recent (in last 5 years) experience with electronic medical records, specifically EPIC. Computer/typing skills such as Microsoft Word and Excel. Work Schedule Hours: 40 hrs/wk, 8 hour shifts. Monday
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extraction Knowledge and understanding of laboratory safety protocols including biological and chemical safety Ability and motivation to learn new experimental approaches and safety protocols, and analyze and
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assigned. Responsibilities* You will learn to schedule new and return patient visits. You'll work closely with Clinical Teams to provide an ideal patient experience. In this opportunity, improving patient
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of Michigan is a diverse learning community grounded in the principle that business can be an extraordinary vehicle for positive change in today's dynamic global economy. The Ross School of Business mission is
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to maintain accurate complete records of all the machine's operation, calibration, and maintenance, electronically and/or in physical log books; - Invent, modify, or improve cyclotron/synthesis module
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, leveraging Fabric for data integration, predictive analytics, machine learning, and other AI-powered features. Maintain familiarity with Tableau for migration or support as needed. Write and optimize complex
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for any reason, throughout the course of employment. Learn more about the work modes . Additional Information The University of Michigan, with an operating budget of more than $10 billion, is a leader
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/walking, as well as lifting, positioning, pushing, and/or transferring patients. Desired Qualifications* Completion of a Certified Nurse Aide or Certified Medical Assistant program; basic computer skills
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. Demonstrates ability to problem solve in a collaborative manner. Demonstrates ability to navigate computer programs, and demonstrated proficiency with keyboarding skills. Programs include: ORMIS documentation
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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