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to optimize data processing workflows, particularly for large-volume, high-dimensional healthcare datasets. Utilizes object-oriented programming (e.g., Python, Java) to develop modular, scalable research
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interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through
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and toolboxes. Skills in Windows programming, C/C#/C++/Java/Python, Matlab and/or IDL, embedded systems with GIS concepts, Linux and SQL. Ability to apply advanced math concepts, understanding basic
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Associate Level I will extract, organize and analyze large amounts of data. Familiarity with computer programming (python, R, stata) is required. The University of Miami offers competitive salaries and a
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, or other data visualization tools SQL, Python, R for data extraction and statistical analysis Excel (Advanced) for modeling, scenario planning, and report automation Smartsheet for project tracking, data
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desirable, either using Python or other packages. Experience in Fortran coding for scientific applications is a plus. Written skills as demonstrated by peer reviewed publications may be required
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required. Knowledge, Skills and Attitudes: Power BI, GIS, PPT, or other data visualization tools SQL, Python, R for data extraction and statistical analysis Excel (Advanced) for modeling, scenario planning
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SAML. 14. Automation: Familiarity with automation tools (e.g., Python, Bash, Ansible) can be a plus. 15. Training: Provide training and guidance to other engineers. 16. Collaboration: Collaborate with
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limited to Computational Social Science, Data Science, Computer Science, Political Science, Communication Science, quantitative History of Science, or Sociology. Proficiency in Python and/or R for data
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Language Models, and image recognition; web scraping; and API interaction. Demonstrated proficiency in programming languages such as Python, R, or similar. Demonstrated background in Computational Social