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with cloud computing platforms Demonstrated application of AI/ML or advanced analytics to medical imaging, genomics, EHR, or related clinical/preclinical datasets Familiarity with healthcare data formats
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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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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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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