2,913 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at University of Washington
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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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Compensation: Evening Shift Premium - $2.00/hour; Weekend Shift Premium - $2.50/hour Certification Premium - $1.50/hour Benefits: For information about benefits for this position, visit https
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Maximum: $150,000.00 annual Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United
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trades. Perform alteration, repair, and maintenance of buildings, facilities, and equipment. May lead or instruct helpers as required. Other duties as assigned. Core Competencies Demonstrate personal
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WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Analyzing data. Writing and revising
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assigned. · Perform routine computer functions including charge/credits and label generation. · Obtain patient’s medication list and transcribe list into medication reconciliation database. · Perform
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internship program, and numerous post-doctoral clinical and research fellowships. Learn more: https://psychiatry.uw.edu/ All University of Washington faculty are expected to engage in teaching, research, and
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experience in Machine Learning/Computer Vision/software engineering. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license
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medical records - Participate in quality improvement initiatives and safety protocols - Complete learning modules and participate in continuing education - Provide mentorship and guidance as appropriate
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@MGI determines the functional impact of genetic variants (mutations) by engineering those variants into human cells. We use high content confocal microscopy and deep neural networks (machine learning