2,873 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Washington in United States
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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
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Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Communication, Computer Literacy, Medical Terminology, Organizational Savvy, Patient Care Grade C06-H Salary Range
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excellent service. POSITION PURPOSE Employees in this classification perform one or more of the following advanced Food Service Worker duties: Regularly assign, instruct and check the work of others
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available at: https://faculty.uwmedicine.org/wp-content/uploads/2019/09/UWP-Benefits-Summary-for-recruitingef-edits-v3.pdf Job Duties and Responsibilities: 1. Work on a dedicated cardiothoracic inter
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statistical and machine learning methodologies to analyze and predict aspects of the collected data With the guidance of Drs. Stuber and Bruchas, develop experimental methodologies related to two-photon imaging
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Aide 2) this summer. The Harvey Lab (https://depts.washington.edu/bjhlab/ ) at the University of Washington is hiring a full time field crew lead to work on research projects in forests of the Cascade
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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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% at WashU and 40% elsewhere after seven years with us. For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/ EEO Statement Washington University in St. Louis is
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, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us. For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu
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with us. For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/ EEO Statement Washington University in St. Louis is committed to the principles and practices