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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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innovative research methods and digital health technologies. Priority will be given to candidates with expertise in one or more of the following areas: maternal and child health, clinical trials
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complex scientific research methods and techniques relative to the evaluation of biological, chemical, physical, and cultural control methods for the management of turfgrass insect pests as
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Knowledge, Skills, and Abilities Computer literate, with comfort navigating file systems, performing basic troubleshooting, and learning command-line workflows (PowerShell and/or Python). Ability to work both