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required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources
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graduate levels. The Department is home to world-class faculty who advance statistical, computational, and mathematical methodology across a broad range of scientific domains. Professor Claire Donnat’s
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, Databases, etc.), Machine Learning, Theoretical Computer Science (Discrete Mathematics, Algorithms, etc.). Experience with EdTech tools, such as Ed Discussion, Gradescope, GitHub Classroom, Canvas, etc
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. Optimizes the performance and scalability of AI/ML workloads through algorithmic and system-level improvements, including evaluation and tuning of CPU vs. GPU usage for cost-effectiveness. Monitors and
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, validates and implements sophisticated algorithms for clinical processes in the transplant program and more broadly in the Section of Pediatric Hematology/Oncology & Stem Cell Transplantation. Coordinates
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requirements, refine system architectures, and build robust, scalable solutions for computational, mathematical, and natural science research. This role involves designing, developing, testing, and maintaining
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, 2025 – Jan 19, 2026 Description The Social Sciences Division invites applications from current and recent University of Chicago graduate students in the Division for a competitive two-year program
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Department SSD Social Sciences Computing Services: Longacre About the Department Social Sciences Computing Services provides the Social Sciences Division with direct support for research
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research activities, assists in preparing human subjects protocols, manages and analyzes data across multiple projects. Contributes to building traditional statistical models and machine learning algorithms
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Department Provost Research Computing Center About the Department Research Computing Center (RCC) transforms and enables research and scholarship by providing access to a comprehensive suite of high