296 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" positions at University of Washington
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of this position is to assist with wet lab experiments related to pre-clinical development of CAR immunotherapies. More specifically, the technician will assist with in vitro and in vivo CRISPR screens to identify
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link for additional benefits that may be available at: https://faculty.uwmedicine.org/wp-content/uploads/2019/09/UWP-Benefits-Summary-for-recruitingef-edits-v3.pdf Job Duties and Responsibilities: 1
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. May lead or instruct helpers or other maintenance workers as required. Perform related duties as required. Minimum Qualifications Completion of a recognized apprenticeship as a journey worker, OR full
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Acrobat, Analytical Thinking, Computerized Accounting, Computer Literacy, Deadline Management, Grant Administration, IBM Cognos Analytics, Interpersonal Communication, Learning New Technologies, Maintaining
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experience unless stated elsewhere in the job posting. Skills: Adobe Acrobat, Analytical Thinking, Computerized Accounting, Computer Literacy, Deadline Management, Grant Administration, IBM Cognos Analytics
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vendor technical support and laboratory personnel. Maintain record retention and shredding services in compliance with institutional policies. Coordinate IT and computer support with internal and external
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; prepare data for computer input; analyze computer printouts; set up research database files Assist in modifying data collection forms; survey and summarize relevant literature Assist in gathering patient
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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment
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systems/programs including, but not limited to: Instrument linked computers Sunquest LIS Lab Medicine server systems UW Medicine systems (e.g., Epic) Microsoft Word, Excel, Outlook MyChem MediaLab Be
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) Pediatric Ambulatory clinics are looking for a Medical Assistant, Level II who has interest in learning front desk check in and out processes. Excellent patient care starts from the moment a patient walks in