2,567 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Michigan
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collaboratively. Computer competency including Word, Excel, and be able to extract data from University supported computer databases. Demonstrated understanding and support of patient and family-centered care
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skills Ability to Multitask in a fast-paced, multidisciplinary clinical setting. Demonstrated strong oral and written communication skills. Demonstrated organizational skills and attention to detail
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and citizens who will challenge the present and enrich the future. The University of Michigan is committed to foster learning, creativity and productivity, and to support the vigorous exchange of ideas
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and citizens who will challenge the present and enrich the future. The University of Michigan is committed to foster learning, creativity and productivity, and to support the vigorous exchange of ideas
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of employment. Learn more about the work modes . Additional Information Physical Requirements/Work Environment This role regularly works in loud, bright, and busy conditions. This role observes details
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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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High School Diploma or GED, and a willingness to learn new processes and technologies Read, comprehend and follow written instructions Critically think and problem solve independently Communicate
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handling procedures. These positions require frequent bending, twisting, squatting and reaching. Required Qualifications* Must have High School Diploma or GED, and a willingness to learn new processes and
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, and evaluation. Demonstrated excellent verbal and written communication skills. Demonstrated computer proficiency using the electronic medical record and Microsoft office products. Demonstrated
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, and evaluation. Demonstrated excellent verbal and written communication skills. Demonstrated computer proficiency using the electronic medical record and Microsoft office products. Demonstrated