379 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Carnegie Mellon University in United States
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following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC
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challenges the curious to deliver work that matters, your journey starts here! The Computing Services central IT division provides services that have a strategic impact on university goals. We make service
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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
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: 2024072 What We Do At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of Artificial Intelligence
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submitted through the Storbeck p ortal: https://www.dsgco.com/search/22599-cmudeanhss/ Please do not submit applications via Interfolio. Carnegie Mellon University CMU) seeks an accomplished, visionary, 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
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What We Do At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of Artificial Intelligence
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What We Do At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of Artificial Intelligence
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SEI advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and
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of the following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing