259 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Carnegie Mellon University
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development center (FFRDC) at Carnegie Mellon University. What you’ll do: Develop state of the art approaches for analyzing robustness of AI systems. Apply these approaches to understanding vulnerabilities in
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of War (DoW) acquisition programs, program offices, or government-sponsored development efforts. Proven ability to lead, influence, or enable transformation, whether technical, organizational, process
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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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development, pursuit, support and coordination functions for university-wide, multiple-award federal, industry and/or non-profit agreements in biomedical and life sciences areas of focus. The OVPR oversees
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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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announcement requirements, budget development, preparation of internal and external proposal forms, and use of electronic proposal submission modules. The incumbent will have daily interaction with faculty
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. This project provides a vibrant learning environment for all the trainees. The PI is committed to the professional development of the postdoc associate in addition to their technical excellence. Core
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requirements involving staff and student employees, including hiring, onboarding, offboarding, role transitions, professional development, performance management processes and compensation, while supporting
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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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: 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