2,284 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of Michigan
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well as constantly 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
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facility (i.e. rehab) OR Completion of a Certified Nurse Assistant (CNA) program Desired Qualifications* Completion of a Certified Nurse Aide or Certified Medical Assistant program; basic computer skills
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computer and keyboarding skills; effective telephone etiquette. Reliable attendance and punctuality. Active listening, written, verbal, and information technology skills. Work Schedule Hours of operation
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simultaneously. The candidate will have excellent computer skills with proficiency in all Microsoft software applications. The candidate will be expected to complete 12 Hematology/Oncology CEUs annually
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, activity and procedural progression likely in plan of day and plan of stay. Creates a nursing care environment that stimulates continuous self-learning, reflective practice, feeling of ownership and
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to, exterior and student room access control, and audio-visual equipment in conference rooms, classrooms, and Community Learning Centers. You will collaborate with, assist, and advocate for our unit partners
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research interests, career aspiration. Job Summary The Kaczorowski lab is seeking a computational biologist who is active at the intersection of single-cell biology and machine learning to join our group in
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computer skills are desired. Work Schedule Shift: DAY/EVE ROTATOR (7a-330p/3p-1130p) FTE: 0.6 (24hrs/wk) Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion
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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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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