183 construction-"https:"-"https:"-"https:"-"https:" uni jobs at Carnegie Mellon University
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for analysis, examination or presentation; writes technical reports. May build and validate quantitative models. Develop, implement, and maintain computational pipelines for comparative genomic analyses of large
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used within national security contexts. But this isn't a "make the LLM say the bad thing" type of AI red team. We operate across multiple domains, meaning that our red teamers are expected to be experts
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consulting to teams across the university. Researching, testing, and recommending new security tools and techniques. Developing scripts, utilities, integrations, or other automation that make investigations
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who shares our values and who will support the mission of the university through their work. You should demonstrate: Effectively build strong, positive relationships with a wide spectrum of students
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learning (ML) to provide leap-ahead mission capabilities, we: build real-world, mission-scale AI capabilities through solving practical engineering problems. discover and define the processes, practices, and
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analysis. Build on existing process and microstructure modeling efforts to connect experimental characterization results with modeling findings. Produce high-quality experimental results, figures, methods
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university collaborators to build new technologies that will influence national cyber security strategies for decades to come. You will build and evaluate models, create products, conduct applied research
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automate solutions to AI Security problems. You'll get a chance to work with elite AI and cyber security professionals and university faculty to build new technologies that will influence national AI and
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used within national security contexts. But this isn't a "make the LLM say the bad thing" type of AI red team. We operate across multiple domains, meaning that our red teamers are expected to be experts
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used within national security contexts. But this isn't a "make the LLM say the bad thing" type of AI red team. We operate across multiple domains, meaning that our red teamers are expected to be experts