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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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. 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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learning algorithms for a variety of predictive analytics research projects. Coordinates data collection, econometric analysis and provides quality assurance for research projects. Contributes to research
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responsibilities will span all stages of research, including collecting data in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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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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The University of Chicago Academic Jobs Instructional Professor (Open-Rank), Department of Computer Science Department of Computer Science, Physical Sciences Division Position Type: Other Academic
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research in computational biology, single-cell ‘omics-based and multimodal machine learning (ML), and, for the candidate with appropriate skills, quantum computing algorithms and software for applications in
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of highly accomplished faculty, postdocs, graduate students, and undergraduates, all of whom push the boundaries of their respective fields. The Department supports a PhD program in Geophysical Sciences while
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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