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eligibility requirements by the start of the appointment. The salary is competitive with additional funding available for professional development. To apply, submit a cover letter, CV, and a teaching statement
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evolution via a novel approach that combines atmospheric modeling and machine learning techniques. The qualified candidate will work with Prof. Ramses Ramirez and colleagues on a project to simulate and make
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of tropical and subtropical fruits, and sugarcanes and related grasses maintained at the Subtropical Horticulture Research Station (SHRS) in Miami, FL provide a foundation for developing climate-resilient, high
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