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(required at time of application) PhD or equivalent international degree, or enrolled in a PhD or equivalent international degree granting program Additional qualifications (required at time of start) Ph.D
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. Proficiency in Python or another general purpose programming language and applications to statistical and computational modeling or machine learning Proficiency in javascript and related software infrastructure
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modeling / remote sensing Machine learning Environmental statistics, especially those involving large spatial scales -Skills in modeling for agroecology, agricultural economics, and / or other complex
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