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Computer Science. Familiarity with geospatial data formats (e.g., GeoJSON, Shapefiles, netCDF) and spatial databases. Knowledge of GIS software including both Desktop and Server. Familiarity with middleware and API
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methods into software that meets research needs, manage and update source codes as needed. Work in an interdisciplinary team of informaticists, programmers, information quality experts, statisticians, and
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, HYDRUS, APSIM, or similar tools). Proficiency in programming and data analytics using R, Python, or related software. Strong publication record and excellent scientific writing and communication skills
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translational researchers in the department as well as across the University of Florida campus. In particular, the Postdoctoral Researcher will lead and assist with data modeling, AI/ML methods, software package
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, National Park Service and other federal and state agencies. Access to high-performance computing and modeling software (e.g., MIKE SHE). The University of Florida is a Land-Grant, Sea-Grant, and Space-Grant
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experience in sampling and analyzing water and soil data.Knowledge and skill with basic computing in a Microsoft environment and statistical software. Special Instructions to Applicants: Application must be
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candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education. The selected candidate will be required
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are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education. The selected candidate will be required to provide an official transcript
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, reference checks, and verification of education. The selected candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered “official
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to work collaboratively with Mayo Clinic and UF COM-Jax faculty and staff. Application of databases and software such as REDCap are needed to complete tasks that range from data cleaning and coding, data