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research experience. At least 5 years' experience in modeling studies; previous experience in proposal development; proficiency in statistical analysis; and keen interest in modeling land carbon cycle in
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; proficiency in statistical analysis; and keen interest in modeling land carbon cycle in response to climate change. Must have a strong record of original independent research and peer-reviewed publications
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contingent on funding, satisfactory performance, and available work. Requirements PhD in computer science or applied statistics, with a strong background in machine learning, interpretable ML methods
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