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Statistics (CHS) within the Biological Sciences Division at the University of Chicago is seeking a Research Software Engineer with strong data engineering and DevOps capabilities to support research computing
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Operations Manager to lead and monitor operations for continuous algorithm improvement and validation. This will involve guiding the development of data management systems and establishing data assessment
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scholars to pursue their finest work. We are part of the Physical Sciences Division which includes departments such as math, statistics, and computer science, as well as several interdisciplinary research
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Operations Manager to lead and monitor operations for continuous algorithm improvement and validation. This will involve guiding the development of data management systems and establishing data assessment
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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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, proteomics and genetic data. Assist in creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA, RNA, and protein sequences). Produce
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to develop new software products and build robust, scalable solutions for computational research and public impact projects. This role involves designing, developing, testing, and maintaining software, with
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maintain algorithms for accurate detection, segmentation, and classification of cells and structures in biomedical microscopy images. This position will also work to align high dimensional (HD) images of
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scalable machine learning algorithms for a variety of research projects. Manages project teams and junior staff, leads task supervision and quality oversight. Works with partners to identify analytical
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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