323 evolution "https:" "https:" "https:" "https:" "https:" "FAPESP São Paulo Research Foundation" positions at Carnegie Mellon University
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Associate II to work on an Agentic AI project for document understanding, especially in the legal domain. Core Responsibilities Working with databases and software development Machine learning and AI model
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sponsors. Duties: Hands-on research: You’ll conduct and lead novel research in applied machine learning and artificial intelligence. Solution development: You’ll work with and lead interdisciplinary teams
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, cybersecurity, and AI technologies at the intersection of academia, industry, and government. We serve the nation as a federally funded research and development center (FFRDC) sponsored by the DoW and are based
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research and production‑grade software development, you will translate cutting‑edge AI concepts into robust, mission‑scale solutions for the warfighting community. You will work comfortably with large‑scale
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. Additional duties would include concept tool development to further automation capability. The Malware Analysis intern will contribute to a variety of core functions including: Tool development and automation
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Institute’s mission as a federally funded research and development center (FFRDC) sponsored by the U.S. Department of War. This position combines hands-on financial analysis with team leadership
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production‑grade software development, you will translate cutting‑edge AI concepts into robust, mission‑scale solutions for the warfighting community. You will work comfortably with large‑scale foundation
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coordination with university departments before and after student and scholar arrival, program development and implementation, policy development, advocacy, and special projects. collaborating closely with other
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identifies and cultivates scholarship opportunities for the INI students. Core Responsibilities: Partnership Development: Cultivate strategic relationships with external partners to secure sponsorships for INI
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: 2024073 As AI-enabled autonomous systems get closer to widespread deployment, fundamental research questions remain around their development and use, especially in high-stakes environments. How can we