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Field
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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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Date 03/17/2025 Requisition Number PRN41440B Job Title Software Developer Working Title Research Software Engineer Job Grade F FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours
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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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Research Director – National Tutoring Observatory, Information Science Cutting-edge research is an integral part of the NTO’s mission. As such, the successful candidate will work closely with
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using OM 618 as the course number. Course Description This course provides an in-depth introduction to Machine Learning for Business Intelligence, including a range of models and algorithms for prediction
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algorithms, databases, operating systems, networks, computer security, and software engineering; (2) prepare course syllabi and handouts; (3) evaluate and grade student assignments and papers; (4) maintain
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-user requirements and specifications. Design algorithms and flowcharts to create new application software programs and systems. Produce efficient and elegant code based on requirements. Test and deploy
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of this position are to: (i) develop novel mathematical/computational algorithms, biogeochemical models, or other mathematical frameworks enhanced by big microbiome data analysis; (ii) design and develop