442 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at Carnegie Mellon University
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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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human-guided agents interact with tools, data systems, and operators. AI test, evaluation, verification, and validation (TEVV) to improve confidence in performance, robustness, uncertainty, and
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is comfortable across the full stack (data pipelines, model development, API services, and secure deployment) and eager to explore novel AI and ML theory while delivering mission‑scale capabilities
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, document, and maintain DR Plans with Computing Services and other CMU Technology departments for infrastructure, systems, data, security, and third-party systems. Exercises. Plan, facilitate, and document DR
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) where autonomous and human-guided agents interact with tools, data systems, and operators. AI test, evaluation, verification, and validation (TEVV) to improve confidence in performance, robustness
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work environment. We are seeking creative and upbeat Research Assistant that will assist in the development and execution of research projects including experiment design, analysis of data collected and
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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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is comfortable across the full stack (data pipelines, model development, API services, and secure deployment) and eager to explore novel AI and ML theory while delivering mission‑scale capabilities
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the experience of Carnegie Mellon supporters and provide critical information about the impact of their gifts to the university. In collaboration with University Advancement colleagues, gift officers, college
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resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive