2,556 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at Duke University in United States
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programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is
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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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programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is
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in the United States. Preferred methodological skills include statistical analysis of survey and other large-n data, qualitative interviews, and/or text analysis and machine learning skills
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biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in
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comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family- friendly and cultural programs to eligible team members. Learn more at: https
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a supportive environment that values your well-being and growth. Learn more about Duke University’s competitive benefits package: https://hr.duke.edu/benefits/ Work requires knowledge of botany
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, and interpersonal skills. At Duke, you’ll enjoy competitive pay (anticipated range: $59,829–$96,509), comprehensive benefits, and a culture built on collaboration, innovation, and belonging. Learn more
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, generous retirement benefits, and a wide 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
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· Strong interest in learning about best practices in early childhood development Send a vita, brief description of research interests, and names of three potential recommenders to Kenneth Dodge before