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studies. Develop and apply advanced statistical methods and machine learning techniques using tools such as R and Python. Integrate and run process-based models (e.g., crop models, hydrologic models
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Required Qualifications: An earned doctorate (foreign equivalent acceptable) in horticulture, agronomy, soil science or a closely related discipline is required. Skills in statistical methods, turfgrass
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Computer Science, Geographic Information Science, Data Engineering, or a related technical field. Job
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cooperative work with Florida A&M University in Tallahassee. Expected Salary: Commensurate with Education and Experience Required Qualifications: A PhD (foreign equivalent acceptable) in the field of Soil
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://casbr.biochem.med.ufl.edu/). Competitive salary, career development, and advancement opportunities are available. Expected Salary: $60,000-$70,000; commensurate with education and experience Minimum Requirements: PhD in
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to work at the forefront of environmental remote sensing, leveraging unique datasets and advanced computational methods to address critical questions in land change science and fire ecology. The position is