324 parallel-computing-numerical-methods-"https:" positions at The University of Chicago
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Department PSD Computer Science: Keahey Group About the Department The Nimbus team (nimbusproject.org) is an academic leader in cloud computing research, development, and operations. We work closely
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methods, climate modeling advances, and GPU computing technologies relevant to Earth system science. Develops and presents technical training materials and web-based documentation. Ensures timely
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Department Provost Research Computing Center About the Department The University of Chicago Research Computing Center (RCC), a unit in the Office of Research, provides high-end research computing
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scientists. Through our disease-focused clinics we offer an inter-disciplinarily approach to patient care that provides access to the most current therapies and to the resources of the University. In parallel
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Department Provost Research Computing Center About the Department The University of Chicago Research Computing Center (RCC), a unit in the Office of Research, provides high-end research computing
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destination. Job Summary The Data Science Institute (DSI) Tech staff is responsible for the design, operation, and security of all computing infrastructure within the Data Science Institute, including
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Department Research Computing Center About the Department The University of Chicago Research Computing Center (RCC), a unit within the Office of Research, provides advanced research computing
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management of a large, complex field experiment involving multiple parallel workstreams. Coordinate and manage relationships with external vendors, contractors, and research partners. Develop project
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large language models and generative AI methods, building and maintaining large-scale research datasets, and contributing to original research on how artificial intelligence shapes — and is shaped by
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physics — and a willingness to learn new methods and domains and to transfer approaches across them. The role centers on developing modular, acquisition-aware AI foundation models and applying them to