15 phd-machine-learning Fellowship positions at Center for Devices and Radiological Health (CDRH)

FDA Artificial Intelligence and Machine Learning Fellowship

Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 17 hours 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

FDA Artificial Intelligence and Machine Learning Fellowship

Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 17 hours 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

FDA Medical Device Interoperability Research Fellowship

Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 17 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

FDA Interventional Radiological Imaging and Visualization (IRIS) Fellowship

Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 17 hours 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

FDA Digital Pathology Image Analysis Fellowship

Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 17 hours 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

FDA Postdoctoral Fellowship - Identification Criteria Development for Extractables and Leachables Non-Targeted Analysis

Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 17 hours ago

to support CDRH’s regulatory mission. Learning Objectives: Under the guidance of a mentor, you will gain experience E&L data processing with focus on compound identification framework. You will also gain

FDA Fellowship - Strategic Modernization of Regulatory Taxonomy: Energy Based Surgical Devices

Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 17 hours ago

. This initiative will directly enhance the center's ability to track technological trends, streamline premarket reviews, and strengthen post-market surveillance. Learning Objectives: Under the guidance of a mentor

FDA Fellowship - Development of Medical Device Extractable Database and Toxicological Risk Assessment Approaches

Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 17 hours ago

.  The project will analyze real data of medical device extractables to establish toxicology thresholds for medical devices. Learning Objectives: Under the guidance of a mentor, you will gain experience in data

FDA Postdoctoral Fellowship - Analytical Chemistry

Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 17 hours 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

FDA Postdoctoral Fellowship - Biofilm Associated Medical Device Related Infections

Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 17 hours ago

of biofilms on medical devices, methods for reproducible biofilm formation on devices and device surrogates, and methods for assessing effectiveness of antimicrobials to prevent biofouling. Learning Objectives