265 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Washington in United States
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computer systems. Perform laboratory work accurately. Perform other duties as required. What you’ll need: Requirements for an MLS Trainee : Accredited bachelor’s degree in medical laboratory science OR
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sciences plus two years’ experience preferred. Experience with machine learning, data mining, and analytic techniques. Experience mentoring and developing junior employees on soft and technical skills
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, resulting and reviewing entries for all reference lab testing, performing blood draws on patients, and performing various computer functions. Perform Customer Service | Exercise your customer service skills
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office computer skills to include MS Word, Excel, and willingness to learn other applications/programs as necessary. Equivalent education/experience will substitute for all minimum qualifications except
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reviewing entries for all reference lab testing, performing blood draws on patients, and performing various computer functions. Perform Customer Service | Exercise your customer service skills by responding
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reviewing entries for all reference lab testing, performing blood draws on patients, and performing various computer functions. Perform Customer Service | Exercise your customer service skills by responding
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posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Accounting, Adobe Acrobat, Analytical Thinking, Computerized Accounting, Computer Literacy
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morphology (e.g., geometric morphometrics, machine learning), and phylogenetic comparative approaches. We have: • An engaging, supportive, and collaborative research environment. • Opportunities
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and coordinating catering needs. Onboarding Provide onboarding for newly hired hospitalists, nocturnists, and consultants (HMP faculty) including orientation, computer and systems access requests
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will have the opportunity to learn and apply advanced data analysis techniques, including machine learning and econometric modeling. Through collaboration and technical expertise, this position supports