2,944 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Washington in United States
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driving to outpatient account locations to obtain specimens if assigned the “Driving” responsibility. Specimen Processing : Logs tests in the computer and labels, centrifuges, prepares, aliquots, and
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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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in working with genetically engineered mouse models and flow cytometry. Working knowledge of computer software (Word, PowerPoint, Excel, GraphPad Prism) and general lab equipment. Preferred
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elsewhere in the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Computer Literacy, Customer Service, Detail-Oriented, Empathy, High Accuracy
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Preferred Qualifications: Three years of relevant work experience. Familiarity and/or experience with specialized computer programs, such as CRM technology, is helpful. Preferred Qualifications Education
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improve high-quality learning experiences for OSHA-authorized training and professional development courses. This role applies evidence-based instructional design principles, adult learning theory, and
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: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United States of America) Temporary or Regular? This is a regular position FTE
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Available Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: Night Shift (United States of America) Temporary or Regular? This is a
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Overtime Pay Relocation Assistance Available Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: Night Shift
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Job Description Academic Technologies (AT) is a unit within Academic Student Affairs (ASA) that supports teaching and learning technologies and both formal and informal learning environments through