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Artificial intelligence and machine learning Biomedical and public health informatics Data science, programming, and software development Databases and health data infrastructure Geographic information
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interested in candidates whose research incorporates artificial intelligence, machine learning, or data visualization in ways that help bridge forensic science and digital forensics, although such expertise
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: data science with a focus on database development, data visualization, machine learning with a focus on LLM fine tuning, and/or agentic AI systems (agent orchestration/scaffolding, benchmarking
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; Experience with the development and/or optimization of new redox active materials or processes will also be considered an asset; Demonstrated motivation and aptitude for learning and taking on new challenges
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artificial intelligence, machine learning, or data visualization in ways that help bridge forensic science and digital forensics, although such expertise is preferred rather than required. About the School