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. We have over 30 tenured and tenure-track faculty working in areas as various as combinatorics, algebraic geometry, number theory, pure and applied analysis, representation theory, probability, geometry
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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
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creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA and protein sequences). Applies basic application of computational tools and
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), to examine the influence of environmental factors on brain activity. We also use computational methods, including machine-learning, natural language processing, and spatial analysis, to analyze large datasets
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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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using supervised and unsupervised machine learning/deep learning techniques for various research applications. Design and implement NLP algorithms and techniques for text preprocessing, feature extraction