23 machine-learning-phd 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 23 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 | 2 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

FDA Development of a General Surgery Devices Database and Analysis to Identify Key Technological Attributes and Trends

Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 23 hours ago

of robotic surgical devices. Learning Objectives: Under the guidance of a mentor, you will: Learn how to identify the key technological attributes that define and differentiate various robotic surgical devices

FDA Medical Device Interoperability Research Fellowship

Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 2 days 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 Development of a Queryable Technological Parameter Library for Energy-Based Surgical Devices Indexed by Indications for Use (IFU)

Center for Devices and Radiological Health (CDRH) | United States | about 23 hours ago

performance criteria and parameters for specific device types (example: FDA guidance on performance criteria for MR systems; https://www.fda.gov/media/133250/download ) Learning Objectives: Under the guidance

FDA Interventional Radiological Imaging and Visualization (IRIS) Fellowship

Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 23 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 23 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 Methodological Evaluation of Validation Approaches for AI/ML-Based Predictive Medical Devices for Regulatory Settings

Center for Devices and Radiological Health (CDRH) | United States | about 23 hours ago

alternative validation approaches under varying data, model, and clinical scenarios, identifying methodological gaps and assessing robustness considerations. Learning Objectives: Guided by multidisciplinary

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 23 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 23 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