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order processing data. Work with list brokers and staff at other publishers to acquire and trade mailing lists Check inventory data at warehouse and liaise with Distributed Publisher Coordinator to prompt
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computer. Must be able to lift boxes of manuscripts, proofs, and books. Application Documents Resume (required) Cover Letter (required) When applying, the document(s) MUST be uploaded via the My Experience
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. Familiarity with machine learning libraries or frameworks such as PyTorch, TensorFlow, experience with image analysis, especially in a biomedical context or even exposure to bioinformatics tools or pipelines
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of Public Policy seeks applicants for a one-year Predoctoral Scholar - Machine Learning Data Scientist position. The ideal candidate will have core interests in education research. The successful candidate
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community of scholarship, teaching, and learning. The D'Angelo Law Library is part of the University of Chicago Library system, working cooperatively with other campus libraries to ensure rapid access
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and administrative support in the Applebaum lab, designed to understand how machine learning and artificial intelligence approaches can be applied to clinical images from clinical care to develop new
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information. Develop and maintain infrastructure that connects data sets. Design and evaluate statistical models and reproducible data processing pipelines using expertise of best practices in machine learning
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knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources
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the fundamentals of machine learning, with the ability to use Python or R required. Experience working with messy, real-world data sets preferred. Experience working with text, images, or other non-tabular data
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support as needed. Work with counselors, PE, & Science teachers to coordinate growth and reproduction programming for fourth and fifth graders. Coordinate the annual Picture Day process, including