2,466 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of Michigan in United States
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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 Health field. Familiarity
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clerical duties prn. Required Qualifications* Desired Qualifications* Completion of a Certified Nurse Aide or Certified Medical Assistant program Basic computer skills Course work in an Allied Health field
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clerical duties prn. Required Qualifications* Desired Qualifications* Completion of a Certified Nurse Aide or Certified Medical Assistant program Basic computer skills Course work in an Allied Health field
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peripheral intravenous lines. Candidate should be able to provide patient and family-centered education and discharge teaching based on learning needs. The candidate will have excellent computer skills with
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relevant field (e.g., Data Science, Computer Science, Engineering). Experience supporting data and analytics workflows (BI, data science, machine learning, etc). Familiarity with modern data stack tools and
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watering, weeding, trimming, and general cleanup. Repair irrigation systems. Operate irrigation systems using automated computer programs (test/simulation). Place and operate movable irrigation systems
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knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future. The University of Michigan is committed to foster learning, creativity and
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, complex health care setting. Experience working with electronic health records. Two years' experience in a customer service-oriented position. Basic computer and data entry skills. Excellent organizational
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/MiChart Medical Terminology strongly preferred Computer skills and familiarity with computer applications, including EPIC and Microsoft Office Previous experience working in a patient care setting
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, and eager to learn and grow as part of a supportive, cross-trained medical team. If you thrive in a dynamic setting and enjoy working with diverse patient groups, we encourage you to apply. Working