D. + 7 years of experience (or MS with 10+ years of post MS experience) in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or an Analytics disciplineExperience working with agricultural / biological scientific data is highly desiredExpertise in NLP or Information RetrievalProficiency in Python or another high-level programming languageExperience in developing statistical and machine learning models for environmental and agronomical applications
Last updated : 2024-01-29
