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, and machine learning experience; and (c) some research publication experience. Knowledge of Arabic language is preferred, but not required. Previous work on Arabic NLP is preferred but not required
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experience with the integration of computer technology into instruction. Strong communication, organization, interpersonal, and counseling skills Willingness to travel and teach among four campus sites and
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meetings, giving effective oral presentations individually or in-group settings to audiences of diverse educational and professional backgrounds. (Required) Extensive knowledge of computer systems and their
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Intelligence & Machine Learning Engineer/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana-Farber Cancer
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: Instruct classes utilizing techniques and knowledge of the discipline that facilitate student learning. Effectively use computer applications for instruction, communication where appropriate and maintaining
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University of California, San Francisco | San Francisco, California | United States | 15 minutes ago
computer familiarity, keyboard skills, computer literate in programs such as Microsoft Word and Excel required Willingness to learn new computer programs as needed to sustain practice operations Preferred
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Internal Number: 6808723 Sr. Machine Learning Engineer About the Opportunity JOB SUMMARY The Sr Machine Learning (ML) Engineer applies expertise in deploying and scaling AI pipelines across at least one
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Computer Science, Electrical and Computer Engineering, Princeton Language and Intelligence, the Princeton Center for Statistics and Machine Learning, and the greater STEM community. This position works closely with
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development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems. Experience in collaboration and technology transfer to partners outside
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+ Certification, Microsoft Certifications Preferred Other Certificates, Licenses and Registrations Knowledge, Skills and Abilities Able to adapt to change, Able to assemble, analyze and present data, Able to learn