448 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Carnegie Mellon University
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to monitor Form I-9 completion and validate employee data. Communicating with new hires and departments regarding Form I-9 requirements, tracking completion and following up, as needed. Serving as a primary
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, information systems, economics, mathematics or a related technical field; advanced degree strongly preferred. Other educational backgrounds of a technical nature with significant relevant experience as
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to the Lead Financial Analyst, this role works closely with program and directorate leadership to ensure accurate financial information, sound planning, and strong financial stewardship in a compliance-driven
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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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, 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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, 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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, computer vision, time series forecasting, and other predictive analytics. You will collaborate closely with senior researchers, software engineers, and government sponsors to define problem statements
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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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models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer