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We are seeking a highly motivated and innovative researcher working at the interface of modeling complex system and AI to join our team developing Large Language Models (LLM) based agentic code
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with unsupervised ML algorithms such as autoencoders, clustering Programming expertise in Python, or another scientific programming language is highly desirable Ability to model Argonne’s Core Values
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Language Models for scientific applications. ALCF is also a leader in training the next generation of scientists to utilize supercomputers to further their research. The facility is looking for a
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of and experimental expertise in catalyst-material characterization techniques. Familiarity with mathematical and computational modeling, and competence in a scientific programming language (e.g