395 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at Carnegie Mellon University in United States
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The Data Analyst and AI Specialist will help advance Carnegie Mellon’s efforts to leverage data for strategic decision-making across academic and administrative functions. This role requires
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entrepreneurship in the university’s DNA, it thrives on agility to seize pivotal moments and embrace the future in its persistent pursuit of excellence. For additional information about CMU, please visit https
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. You'll work closely with security and compliance colleagues to navigate privacy, data protection, and responsible use — including identifying bias and ensuring we meet ethical standards. We also need you
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Well-being. We have excellent retirement and healthcare options, as well as tuition remission for employees and dependents. Learn more at https://www.cmu.edu/jobs/benefits-at-a-glance. Come join an
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information about CMU, please visit https://www.cmu.edu/ . Research and Entrepreneurship at Carnegie Mellon University Carnegie Mellon University is known as an epicenter of innovative and societally
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submitted through the Storbeck p ortal: https://www.dsgco.com/search/22599-cmudeanhss/ Please do not submit applications via Interfolio. Carnegie Mellon University CMU) seeks an accomplished, visionary, and
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Algebra for Data Analytics for masters degree students in the College?s MS-DAS program. The course prioritizes intuition, real-world examples, and hands-on implementation over formal proof, and should be
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July 23 and Friday July 24, 2026 Closing Ceremony: Friday July 24, 2026 Departure of students: Saturday, July 25, 2026 For more information about the PGSS program, please visit: https://www.cmu.edu/mcs
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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experience and/or relevant industry expertise in one or more of the following areas: Software Engineering Data Analytics and Artificial Intelligence Cybersecurity Cloud Computing IT Entrepreneurship As a