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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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: Minimum Qualifications: Master's degree in Civil Engineering, Computer Science, Data Science, or a closely related field Proficiency in Python programming Experience with Jupyter Notebook and/or Google
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to work at the intersection of AI, physics, data science, and systems engineering, contributing to the development of robust and verifiable synthetic data pipelines for next-generation analytical and
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for Robotics, against cyberattacks. The appointment is for one year, renewable for a second year, given the availability of funds. The focus is on developing credible data and analytic tools for measuring
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, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g
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of faculty at SUNY Polytechnic Institute and the University of South Florida, consisting of mathematicians, physicists, computer scientists, and engineers investigating applications of deep learning