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to analyze large data sets, identify business opportunities and quantify risks. Supports advanced analytics including prescriptive and predictive analyses. Develops virtual team building platform to connect
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for support of research, training, and other sponsored activities at the University of Chicago as well as for large complex portfolios. External funding to the University that is managed by University Research
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Policy developing effective public policy is a science, based on data and measurable impact. Addressing today’s interconnected, global challenges requires rigorous inquiry. It also requires innovative
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diplomacy and enthusiasm. Absorb large amounts of information quickly. Adaptability to changing working situations and work assignment. Application Documents Resume/CV (required) Cover Letter (required) When
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of relevant research experience; experience gained in school counts towards requirement. Working knowledge with large and complex datasets. Experience with data merging and cleaning strongly preferred
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Nobel Prizes for these ideas - the first business school to achieve this accomplishment. For more information about the University of Chicago Booth School of Business, please visit: http
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, implement, and maintain AI/ML pipelines in support of ongoing research projects. Analyze large-scale data (e.g., digital pathology slides) using standard AI/ML libraries (e.g., PyTorch, TensorFlow
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Policy developing effective public policy is a science, based on data and measurable impact. Addressing today’s interconnected, global challenges requires rigorous inquiry. It also requires innovative
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, 7) Architectural Services, 8) Signage, and 9) Furniture. Job Information Job Summary: Responsible for interfacing heavily with the BSD's faculty, staff, and students to provide support and services as
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required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources