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Applicants must have completed a PhD in the humanities, social sciences, education or related interdisciplinary fields prior to the position start date and demonstrate a strong commitment to academic
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, wildfire) Preferred Qualifications: Strong programming skills, or Experience in field measurements (e.g., eddy covariance, chamber), or Modeling skills (e.g., machine learning, process-based models
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