2,595 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" positions at Duke University in United States
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array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed
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Natural Language Processing (NLP) and teaching. The successful candidate will be able to teach a core class in the MIDS curriculum that covers Natural Language Processing (NLP) methods, including Large
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and comprehensive benefits including medical and dental insurance, generous retirement plans, family‑friendly programs, and professional development opportunities. Learn more: https://hr.duke.edu
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programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard
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statement of their background and interests and contact information only for at least three references to AcademicJobsOnline.org https://academicjobsonline.org/ajo/jobs/31488 . We will begin to review
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, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on
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pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends
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to pass a military security clearance as well as a federal background check and Duke University’s background check as a condition of employment. Work schedule: 7:00 am – 3:30 pm – Monday – Friday https