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, Freesurfer, UNIX/LINUX computational environments and/or programming skills (MATLAB, R, C++; JAVA, Python) is desirable, but not required. Applicants who have experience in the study of children (especially
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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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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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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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, statistics, data science, or related disciplines. Preferred Qualifications: Interests in AI-driven drug discovery, deep learning research, and self-motivated. Solid Math/Statistics and coding skills in Python
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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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programming languages like C/C++, Python, Fortran, Scala. Experience with building interactive web-based applications for data visualization and data processing workflows Familiarity with high-performance
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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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, Environmental Science, Computer Science, or a closely related field Strong programming skills in Python or R Experience with machine learning and deep learning applied to geospatial data Demonstrated ability