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the possibility of yearly renewal subject to funding availability. Responsibilities • Design and implement deep learning architectures, AI agent pipelines, and computer vision algorithms to achieve project goals
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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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an anticipated start date of January 5, 2026. The successful candidate will report directly to the Director of the CLASS Honors Program and will be based in Houston, Texas, United States. Preferred Qualifications
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conferences. The position is a two-year, full-time postdoctoral fellowship with competitive compensation and potential for renewal based on performance and funding availability. Qualifications: · Ph.D. in