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statistical analysis using R and help organize datasets for interpretation. A key focus will be integrating microbiome and metabolome data through statistical and machine-learning approaches to uncover
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. Successful completion of a formal educational program accredited by a mechanism acceptable to the ARRT accrediting body. Initial ARRT (R) Certification by exam and current valid ARRT (R) registration. Two
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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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invoices and/or financial reports as required by sponsor. Performs all activities related to closeout. Prepares and sends pre-close memo, final expenditure, and cost sharing letters as needed. Performs A/R
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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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statistical analysis using R and help organize datasets for interpretation. A key focus will be integrating microbiome and metabolome data through statistical and machine-learning approaches to uncover
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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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Development (50%): Develop and apply advanced statistical modeling and coding skills (primarily in R) to build a QMRA framework using data from both the scientific literature and those collected from
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director of the UF Transportation Institute (UFTI) to drive innovation and expand the impact on congestion, safety, and the economy of university-led R&D on pedestrian, multi-modal, roadway, railway, seaport
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: Ph.D. in Geography, Geology, Oceanography, Coastal Engineering, Earth Science, Computer Science, or a closely related field Strong programming skills in Python (preferred), Matlab, or R Demonstrated