2,918 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Washington in United States
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the job posting. Work Experience: Relevant Experience (5 Years) Skills: Communication, Computer Literacy, Confidentiality, Detail-Oriented, Electronic Mail, ICD 9 and CPT Coding, IDX, Internet Usage
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certification/professional licenses unless stated elsewhere in the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Communication, Computer Literacy
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. Skills: Clinical Research, Clinical Study Protocols, Communication, Computer Systems, Interpersonal Communication, Organizing, Research Support Grade C09 Salary Range $47,400.00 - $71,200.00 / Annually
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care in an environment that optimizes patient safety and reduces the likelihood of medical/health care errors Formulate a teaching plan based upon identified learning needs and evaluates effectiveness
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in an environment that optimizes patient safety and reduces the likelihood of medical/health care errors Formulate a teaching plan based upon identified learning needs and evaluates effectiveness
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Qualifications: MD or PhD in public health, epidemiology, statistics, biostatistics, math, or quantitative social sciences plus two years’ experience preferred. Experience with machine learning, data mining, and
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: $68,736.00 annual Pay Range Maximum: $88,320.00 annual Other Compensation: May be eligible for relocation incentive Benefits: For information about benefits for this position, visit https://www.washington.edu
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RECORDS AND DATA COLLECTION Organize and maintain computer and paper records of therapy including collecting and accurately recording data in each therapy session, graphing data, and completing treatment
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of Washington. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming. UW Information Technology (UW-IT) is the central information
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safe, inclusive, and transparent clinical and educational environment. The Department fosters learning and collaborative engagement to advance patient care and medical knowledge. The Department values