21 model-driven-engineering positions at Center for Devices and Radiological Health (CDRH)

FDA Medical Device Interoperability Research Fellowship

Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 20 hours ago

Program conducts regulatory science research to ensure safe and effective interoperable medical devices, including wearable technology and systems of devices in the home and integrated clinical environments

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 20 hours ago

*Applications will be reviewed on a rolling-basis. FDA Office and Location: A research opportunity is available within the Center for Devices and Radiological Health (CDRH), Food and Drug Administration (FDA). Oak Ridge Institute for Science and Education (ORISE) Research Participation Programs...

FDA Digital Pathology Image Analysis Fellowship

Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 20 hours ago

the assessment of artificial intelligence models applied to whole slide images, with a focus on CPATH imaging AI pipeline and cutting-edge technologies such as vision and language foundation models in

FDA Postdoctoral Fellowship - Analytical Chemistry

Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 20 hours ago

) within the Office of Science and Engineering Labs (OSEL) at the Center for Devices and Radiological Health (CDRH), Food and Drug Administration (FDA) located in Silver Spring, Maryland. Research Project(s

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 20 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 20 hours ago

Administration (FDA), Office of Science and Engineering Laboratories (OSEL), located at Silver Spring, Maryland. Oak Ridge Institute for Science and Education (ORISE) Research Participation Programs at the U.S

FDA Research Opportunity - Pediatric and Perinatal Devices

Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 20 hours ago

care. Such tools include non-clinical testing methods, curated datasets, physical phantoms, and computational models. By addressing gaps in existing evaluation approaches, the program seeks to improve

FDA Interventional Radiological Imaging and Visualization (IRIS) Fellowship

Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 20 hours ago

emerging medical technology domains: interventional and autonomous systems, extended reality technologies, and novel imaging validation and evaluation methodologies. This integrated project aims to develop

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 20 hours ago

Engineer, Office of Surgical and Infection Control Devices ([email protected] ). If you have questions about the nature of the research, please contact the mentor. Anticipated Appointment

FDA Research Opportunity - Assessment of Bayesian Statistical Methods Applied in Regulatory Contexts

Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 20 hours ago

simulation studies to assess uncertainty and operating characteristics of PPoS-based interim decision rules across various endpoint types (binary, continuous, time-to-event), modeling assumptions, and data