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, Environmental Science, or other relevant disciplines is required for P2 and P3. 2) Strong background in ecosystem modeling, global land carbon modeling, machine learning, and/or statistics is required for P1
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bias assessment/mitigation Experience with large spatiotemporal data sets Demonstrated experience of applying at least one machine learning or advanced statistical technique to an atmospheric-science
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