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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
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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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, and experience in the algorithms used to analyze these datasets. The appointee will ultimately create an independent research effort with dedicated extramural funding that complements existing strengths
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on supporting student academic success, providing opportunities for personal growth and leadership development, developing community and engagement through the residential housing and dining program, and in areas
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Department PSD Applied Data Science Staff About the Department The Master of Science in Applied Data Science (MS-ADS) program is a large professional graduate program within the Data Science
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operations of the Special Services Program. Under direction from the Special Services Program Supervisor, performs technical and/or research-related projects for investigators who use research animals
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participant satisfaction and client retention rates. As a key collaborator with business development, marketing and program innovation teams, this role will be critical to Chicago Booth’s mission To create