7 machine-learning "https:" "https:" "https:" Fellowship research jobs at Center for Devices and Radiological Health (CDRH)
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 8 days ago
image processing, disease detection, diagnosis, and therapeutic monitoring. The program addresses critical regulatory challenges posed by AI devices that can continuously learn and adapt, including
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 23 hours ago
analyses), patient monitoring algorithms (e.g., artificial intelligence/machine learning approaches) for disease detection and management, and physiologic closed-loop controlled devices. Research activities
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 3 days ago
data generated from medical device materials under different extraction conditions in conjunction with physics- based modeling to develop the web-based tool. Learning Objectives: As a postdoctoral fellow
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 8 days ago
specialized laboratory capabilities and personnel expertise to evaluate autonomous surgical robotics, mixed reality medical applications, and phantom-based alternatives. This project provides extensive learning
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. Learning Objectives: This opportunity will provide you with: Hands-on training in an optics laboratory, including optical design, optical setup, instrumentation, data collection, and analysis. Training
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 23 hours ago
conducting laboratory experiments, performing computational modeling, analyzing data, reviewing scientific literature, as well as writing reports and peer-reviewed scientific publications. Learning Objectives
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 8 days ago
focused on the development of methods and tools in support of our regulatory science efforts in evaluating computational pathology (CPATH) devices. As a fellow, you will have the opportunity to learn about