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, modeling, or AI/ML approaches in agricultural or environmental research. -Proficiency in server administration, distributed computing, and cloud platforms (AWS, Azure, Google Cloud). -Knowledge of full-stack
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documentation. Data management & computational reproducibility. Experience with data pipelines, version control (e.g., GitHub), reproducible workflows, and cloud or HPC environments. Additional Information: In
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strong collaborative and programmatic ties with several other departments within (Psychology, Physics, Chemistry-Biochemistry) and outside the College of Sciences (Department Computer Science), College
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