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Docker. Leverage Python, SQL, and Docker to test code in development environments and deploy processes to a production environment. Design, implement, and manage data storage and pipelines to support the
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This position will utilize data science and statistical software such as Python, R, and SAS, to analyze and interpret research data. This position will also use other database/analytical software platforms (e.g
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utilize data science and statistical software such as Python, R, and SAS, to analyze and interpret research data. This position will also use other database/analytical software platforms (e.g., MSSQL
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possess: Master's degree in computer science, information technology, or similar discipline and one year of relevant experience. Expertise in Python or R programming. Experience with artificial intelligence
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model-guided artificial intelligence models for predicting components of agricultural systems, ability to analyze large datasets using Python, R, or other programming languages, and working knowledge
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. The successful candidate with engage in and support scholarly activities across all UF/IFAS units, including development of creative works (e.g., Rand Python code), publications, and grant proposals that support
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and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques. Preferred Qualifications: Prior working experience with EHR data, machine
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a closely related field; no experience required Preferred Qualifications: The ideal candidate must possess: Degree in Computer Science/ Science in Engineering/Engineering Experience with Python and
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Docker. Leverage Python, SQL, and Docker to test code in development environments and deploy processes to a production environment. Design, implement, and manage data storage and pipelines to support the
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full benefits package. To see more, visit, benefits.hr.ufl.edu. Required Qualifications: Must possess a PhD in Chemistry or Physics , or closely related field Preferred: Strong Python skills Strong