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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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through technical reports and policy journals. Data Analytics: Utilize data science methodologies and statistical software such as SAS, Python, and R to analyze and interpret healthcare data. Employ
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, students, and research staff, contributing to the advancement of AI applications in healthcare. Duties include but are not limited to: Utilize data science and statistical software such as Python, R, and SAS
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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
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part of the School of Art + Art History are the 4Most Gallery and the University Galleries—University Gallery, the Gary R. Libby Gallery, and Grinter Gallery — which provide exhibition space for
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/R, PyTorch, and TensorFlow. Demonstrated research experience in the deep learning and computational biology field. Good written and oral communication skills. Proactive, perseverant, and eager
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structural biology. Willingness to learn or existing expertise in python, R, molecular dynamics simulations, or machine learning is advantageous. Expected Salary: Commensurate with experience. Minimum
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2025. -Candidates should have excellent skills in designing, conducting and analyzing Social Network data. -Excellent data analysis skills in R, Python, and/or Matlab are required. -Ability to work
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-analysis tools, including proficiency in using R or Python. Is a demonstrated leader in conceiving, overseeing and editing data-driven investigations and accountability projects. Has training in statistics