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lead a team of data analysts in conducting complex data analyses to support the enhancement of child welfare systems. Utilizing your expertise in data manipulation and visualization with R, Python, and
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computer science. Experience: Experience in python including torch and scikit-learn libraries strongly preferred. Experience in working with image data or unstructured text data with large language models. Preferred
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. Experience: Significant research experience in a university setting is strongly preferred. Programming with Stata and/or R, as well as software such as Matlab or SAS. Programming in Python. Familiarity with
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Junior Research Assistant who will analyze large-scale biological data sets and help create open-source R and Python software to support our lab’s methodological research. Working closely with Professor
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. Successful applicants are expected to teach one or more courses in operations management at the graduate and undergraduate level. In particular, experience teaching data science with Python, database science
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Python. Working knowledge of MS Excel. Application Documents Resume/CV When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents
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with languages such as SQL and Python. Knowledge of metadata principles and standards. Preferred Competencies Strong understanding of data management practices. Interact with and collaborate effectively
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transfer. Demonstrated experience with cloud-resolving or super-parameterized climate models on high performance computing systems. Proficiency in Python (or Julia), Git, and Linux/Unix environments
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of large medical datasets using R and Python, attending and documenting collaborative meetings, developing and implementing forecasting model for medical conditions. The role will be required to maintain a
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format for the PI to review. Conduct research and calibration of Hubble Space Telescope (HST) and James Webb Space Telescope (JWST) data from the Space Telescope Science Institute. Complete Python