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proliferation, improve nuclear safety systems, and enhance treaty verification. The Nondestructive Measurement Science and Technology Group focuses on research, development, and application of nondestructive
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generative AI/LLMs, including RAG systems Familiarity with LLM inference servers (e.g., vLLM, Ollama) Familiarity with high-performance computing (HPC) and distributed training environments Hands-on
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-physical resiliency, data analytics, geospatial science and technology, and high-performance computing for sensitive national security missions. We draw on the Laboratory’s exceptional facilities and work
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their respective fields. The ideal candidate will be able to leverage Northeastern's expertise and facilities in high-performance computing, machine learning and artificial intelligence, human-system
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also exhibit active and recognized leadership in their respective fields. The ideal candidate will be able to leverage Northeastern’s expertise and facilities in high-performance computing, machine
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-performance computing, artificial intelligence, and critical infrastructure. This position resides in the Secure AI Research Group in the Advanced Intelligent Systems Section, Cyber Resilience and
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working with large, heterogeneous datasets and designing reliable, maintainable, and reproducible systems. Experience with high-performance, distributed, or cloud computing; familiarity with SLURM is
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Chalmers is growing in scale, technical breadth, and collaborative activity. To provide the scientific continuity, technical depth, and coordination needed for sustained high-quality research, we are
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with Rolls-Royce, offers a great opportunity to apply machine learning to high-fidelity process data to assure the quality, performance, and safety of critical jet engine components. The Challenge
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Rolls-Royce, offers a great opportunity to apply machine learning to high-fidelity process data to assure the quality, performance, and safety of critical jet engine components. The Challenge For