2,849 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Washington
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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
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. Excellent organizational/record-keeping skills. Excellent interpersonal skills. Competence with computer programs such as Microsoft Office, Adobe Creative Cloud. Desired qualifications. Previous experience
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Police Setting (1 Year) Skills: Not Applicable Driver's License: A Class E (MO) or Class D (IL) license and a good driving record are required for this position. More About This Job Required Qualifications
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employees: https://facilities.med.wustl.edu/Careers. Serves as the support coordinator and communicator (partnered with Communications Officer II or Lead Communications Officer) for all life safety and
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learning events, including simulation. You will schedule guest presenters or training partners, such as individuals with lived experience in the child welfare system, actors or legal professionals. You will
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) Skills: Communication, Computer Literacy, Customer Service, Effective Written Communication, Oral Communications, Organizing, Outstanding Organizational Abilities Grade G06-H Salary Range $17.87 - $27.06
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. Skills: Audiovisual Equipment, Computer Literacy, Library Management Software Grade G05-H Salary Range $17.03 - $24.61 / Hourly The salary range reflects base salaries paid for positions in a given job
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Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Claims Resolution, Collections Strategies, Communication, Computer Literacy, Confidential Data Handling, Epic EHR
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, product management work, and and leadership responsibilities • Familiarity with artificial intelligence and machine learning approaches, including predictive modeling and precision analytics applied
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data