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of Miami. Other potential undergraduate classes include Introduction to Python Programming - a requirement for the Rosenstiel BS - and Climate Change, a general education course. We are also considering
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in the following qualifications: Software Engineering & Development - Object-Oriented Programming: Proficiency in OOP concepts with hands-on experience in languages such as Python, C/C++, Java, etc
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demand forecasting, classroom utilization, etc.). Build predictive and prescriptive models (e.g., risk scoring, enrollment forecasting, course section optimization) using R/Python; translate outputs
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in maintaining data quality and data assurance by maintaining, building, and creating code scripts. Using tools like Python or R for data manipulation. Familiarity with tools like Git/Github
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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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, validate, and implement reproducible analytic pipelines for big data research using statistical software such as R, SAS, Stata, or Python. Conduct data extraction, cleaning, harmonization, and quality
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communication—not coding or software development. Candidates whose primary experience is in Python, R, SQL, statistical modeling, or data engineering will not be a match for this position. The University of Miami
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especially interested in candidates who can teach a variety of technical class areas of teaching need including PYTHON, Data Base (SQL), Tableau, AWS (Cloud), PM and JAVA at a high level of proficiency
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bioinformatics workflows on large-scale genomic, proteomic, lipidomic, and clinical datasets. Develop, optimize, and maintain reproducible data-processing pipelines using R, Python, Bash, and workflow management
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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