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group at the frontier of autonomous science across two projects. The primary assignment for the first 9 months is A-WILD (AI-driven Workflows for Intelligent Lab Discovery), a DOE Genesis Mission project
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to enable high quality work in strategic directions that are of significant impact to industry, science and technology. The Research Fellow will contribute to the development of an AI-assisted, data-driven
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engineering, and model building for financial datasets. At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run
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variety of sectors. Utilize data-driven insights and market intelligence to inform new initiative development and future academic programming. Program Curriculum and Development Collaborate with deans
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deeply, and believe in being the difference in their work and community. We prioritize student success, access to education, and service in our work to educate well-rounded servant leaders who transform
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, biofilm formation and resistance evolution in a defined four-species UTI model. The project combines longitudinal experiments in planktonic and biofilm systems with quantitative analysis. The work includes
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operations across multiple departments. Transforms manual processes into AI-driven solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI
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experience Advanced Excel skills, including the ability to develop complex spreadsheets and models for budget variance analysis, revenue and expense forecasting, and financial reporting. Building and utilizing
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retention goals. Supports institutional planning through data driven occupancy modeling and demand analysis. Oversees administrative operations, business services, HR administration, procurement, contract
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will work on a highly interdisciplinary and ambitious research program that aims to apply theory-driven cognitive computational modeling to rich and intensive educational data obtained from learning