2,913 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Washington
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. More About This Job Required Qualifications: Registered or Certified Medical Assistant with three years of related work experience (examples of related fields include military medic, emergency medical
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. More About This Job Required Qualifications: Registered or Certified Medical Assistant with three years of related work experience (examples of related fields include military medic, emergency medical
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Required Qualifications: Registered or Certified Medical Assistant with six months of related work experience (examples of related fields include military medic, emergency medical technicians, Nurse’s Aide
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fields include military medic, emergency medical technicians, Nurse’s Aide, physical therapy and nurse technicians, and certified athletic trainers). Medical Assistant credentials must be obtained from in
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: Registered or Certified Medical Assistant with three years of related work experience (examples of related fields include military medic, emergency medical technicians, Nurse’s Aide, physical therapy and nurse
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skills Ability to handle multiple tasks concurrently Ability to adapt to changes in the external environment to include being exposed to inclement weather and work in environments or under conditions that
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Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Computer Efficiency, Confidentiality, Critical Thinking, Customer Service, Detail-Oriented, Effective Written
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extracted from electronic health records, using Python, R, and other relevant tools. Applies statistical and machine learning methods (e.g., descriptive statistics, supervised and unsupervised learning
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, systems and services, including ITIL, COBIT, cloud infrastructure, cybersecurity, enterprise applications, digital transformation, AI, generative AI, machine learning, natural language processing
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weekends $3.00/hour evening shifts $1.00/hr BSN Premium $1.25/hour Nursing Certification Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits