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the frontier of human-AI collaboration. Rooted in the conviction that algorithms and AI should enhance — not replace — human capability, The Bike Shop develops computing tools that serve as true “bicycles
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scientific software development. Knowledge of algorithms and data structures to produce efficient, maintainable, well-documented code. Skilled in data handling, cleaning, and preprocessing; experience managing
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Behavioral Lens: Guide efforts to develop novel AI technologies and machine learning interventions, making new algorithmic tools possible. Ensure AI and algorithmic innovation efforts focus on enhancing human
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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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of malignancies, blood disorders, and experimental therapies. Job Summary The Data Science, Analyst will will work to maintain and deploy algorithms for accurate detection, segmentation, and classification of cells
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engages in meaningful partnerships with industry, government, and the broader community. Job Summary The Research Software Engineer (RSE) will develop software to support DSI’s research priorities and
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School. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical
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responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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of research, including data collection, model development, and implementation. This position requires an individual who is able to work as part of small research teams, and on multiple projects concurrently
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Department PSD Data Science: Research Staff About the Department The Data Science Institute at the University of Chicago was established to support the development of emerging efforts in data