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medical devices and systems using advanced technologies such as automation, artificial intelligence and machine learning, robotics, telemedicine, advanced displays, computer vision, and data-driven decision
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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medical devices and systems using advanced technologies such as automation, artificial intelligence and machine learning, robotics, telemedicine, advanced displays, computer vision, and data-driven decision
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experience applying computational and laboratory techniques to agricultural research questions related to crop resilience, plant health, and food security. Learn more about the research being conducted
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science and machine learning applications for analytical chemistry, industrial/agricultural facilities, and techno-economic analysis is considered a plus. Stipend $1,000.00 – $4,000.00 Monthly Point
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to troubleshooting analytical challenges are highly desirable. Familiarity with data science and machine learning applications for analytical chemistry, industrial/agricultural facilities, and techno-economic analysis