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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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. 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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challenge and translates research insights into real-world impacts through strategic outreach and training for the next generation of global energy leaders. EPIC’s pre-doctoral fellowship program serves as a
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research projects with an emphasis on image analysis and computational pathology and the development of AI-driven data pipelines. The ideal candidate is a motivated individual with strong programming skills
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of Chicago Booth School of Business, the Kenneth C. Griffin Department of Economics, the Harris School of Public Policy, and the Law School. The Predoctoral Research in Economics Program (PREP) is intended
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Department SSD Social Sciences Computing Services: Bradwell 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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-industry-specific programs that are accessible to all undergraduates, supporting their diverse career interests. The Associate Director will use advanced program management skills to oversee and execute