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a postdoctoral associate to develop methods and metrics for evaluating how consultation with large language models affects analytical work products and team interaction patterns in complex information
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, applied physics, computer science, or a related field. Required skills include an advanced command of Python. Mastery of a language in the C family is a plus. Some familiarity with programming of hybrid AI
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, applied physics, computer science, or a related field. Required skills include an advanced command of Python. Mastery of a language in the C family is a plus. Some familiarity with programming of hybrid AI
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tracking), dataset curation, HPC/GPU programming, blockchain for secure data, C-family languages, and embodied AI/robotics are a plus. Experience with general network resilience, cellular automata
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Large Language Models (LLMs). The position will also involve creating quantitative evaluation frameworks to assess the quality, realism, and reliability of generated data, as well as integrating graph
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, computer science, or a closely related field. Coding experience for the computational modeling of physical and/or engineered systems, preferably with finite-element methods, is a must. Strong programming