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discovery through user research, prototyping, and experimentation to validate solutions that are feasible, usable, and valuable Write production-quality code in Python/Django and JavaScript/React/Vue while
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policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated experience working with
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in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate
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software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
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, Python, and SAS or Stata Demonstrated expertise in analysis of claims data Clear scientific writing and communication, an ability to work both independently and in teams, and a track record of publications
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the number of years post-PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes
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. The role demands expertise in mixed-integer programming (MIP), fluency in Python, and the ability to deliver clean, modular, and maintainable production code. The position also plays a strategic role in
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demonstrated proficiency in programming, specifically in Python and R, as well as experience with modern deep learning frameworks like PyTorch or TensorFlow. In addition to technical skills, the candidate must
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
, tables, etc…); processing, analysis, and display. Experience in engineering and graph database work. Experience programming in Python and deploy Jupyter notebooks. Experience working independently and
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languages such as R, Python, and/or SQL. Strong attention to detail, highly organized, timely, and responsive. Excellent interpersonal, written, presentation, and verbal communication skills. Experience