272 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Linköping-university" positions at Carnegie Mellon University
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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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aid program management, loan administration, and cross-departmental collaboration. This position supervises staff, coordinates with internal and external partners, and contributes to policy development
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responsibilities will vary, they will include, but will not be limited to, the following: Lead the ongoing design and development of the LSFI project website, future social media channels, project blog, and
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The Mission: In modern warfare, the speed of relevance is determined by the speed of software. The Software Engineering Institute (SEI) is at the forefront of this evolution. Our team is
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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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optimally with customers, co-workers and other professional colleagues, managers, and staff. Location Pittsburgh, PA Job Function Software/Applications Development/Engineering Position Type Staff - Regular
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business. This position will lead the Client Services organization composed of: Productivity Services, AI Service Development, IT Support Services and Learning Technologies & Media Services. The Assistant
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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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records. Responsibilities: Assist in the research and development of a large model for 2D navigation. Design, execute, and document experimental evaluations to validate model performance. Design and
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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