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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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or trauma responsibilities. Candidate will join a diverse academic surgical oncology practice inclusive of growing an advanced GI/MIS, endoscopic, robotic, and oncologic program. This position will
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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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no way connected to the University of Florida. *Montgomery GI bill - (Active Duty who complete an enlistment of three years or more. Ch. 30 of title 38 U.S.C.). Contact the Department of Veterans Affairs
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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
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with experience in managing patients with GI cancers and an active interest in the development and conduct of interventional clinical trials and other collaborative clinical research projects