2,374 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Michigan
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and staff and be able to administer standardized and computer-based cognitive, behavioral, and motor assessments to research participants and score neuropsychological examinations. The candidate will be
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care team Demonstrated accountability and dependability as evidenced by completion of continuous mandatory education requirements within identified time frames Computer skills; proficient in GroupWise
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ability to assess, interpret, and analyze clinical information independently and collaboratively. Computer competency including Word, Excel, and be able to extract data from University supported computer
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ability to assess, interpret, and analyze clinical information independently and collaboratively. Computer competency including Word, Excel, and be able to extract data from University supported computer
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in a computer access agreement which the incumbent signs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position. Required
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; customer-focused interpersonal and communication skills; computer literacy; ability to enter a substantial amount of data while maintaining a high level of accuracy; technology skills mentioned above
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delivery and work with animal models (rodents). This position offers opportunities to learn cutting-edge techniques as well as opportunities for career development including manuscript and grant proposal
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Ambulatory care phone triage Experience providing patient education Two (2) or more years of recent (in last 3 years) experience with electronic medical records, specifically EPIC Computer/typing skills
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positioning self to provide patient care and related duties. Desired Qualifications* Completion of a Certified Nurse Aide or Certified Medical Assistant program Basic computer skills Course work in an Allied
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. Instruct, upon request, medical and nursing staffs on the proper use of equipment. Maintain a control log of all equipment requests noting patient name, bed number, type of equipment and the name of