FDA Data Mining in Cardiovascular Safety Model Development U.S. Food and Drug Administration (FDA) in United States

This research opportunity is based within the Center for Devices and Radiological Health (CDRH) at the U.S. Food and Drug Administration , where the participant will contribute to regulatory science work supporting the review of medical devices in the United States. The project centers on energy-based surgical devices (EBSDs) and the development of a centralized, queryable library of device parameters indexed by indications for use. The participant will systematically identify, extract, and orga...

Assistant Professor Li Zhang at The University of Texas Rio Grande Valley is looking for motivated PhD students to join the research group in computer science . The research area focuses on time series data mining , with a current project related to AI for health . The post highlights interest in how multi-modal models understand temporal patterns and support reasoning processes, making this a strong fit for students interested in data mining, machine learning, temporal modeling, and health-orie...

Nick Polizzi is recruiting postdoctoral researchers for two new projects at Dana-Farber Cancer Institute / Harvard Medical School , with collaboration from Ed Boyden’s group at MIT and another project involving Scripps and MGH . The first opening focuses on in situ protein sequencing , including the development of new peptide binders to enable single-molecule protein sequencing . This role is described as a combined computational + experimental position and is funded by the Keck Foundation . The...

Postdoctoral Associate in Biochemistry at the University of Miami in Miami, Florida, United States . This on-site, full-time postdoctoral opening is part of the Firefighter Cancer Initiative & Innovation Project . The role focuses on biochemistry , biochemical detection assays , bioinformatics , data integration , and advanced analysis of complex biological and clinical datasets. The postdoctoral associate will conduct experimental studies, generate high-quality biological data, collaborate with...

This fellowship at the U.S. Food and Drug Administration’s Center for Devices and Radiological Health places participants in a regulatory science research environment focused on artificial intelligence and machine learning for medical devices. The project addresses the safety and effectiveness of AI/ML-enabled devices across healthcare uses such as image processing, disease detection, diagnosis, and therapeutic monitoring. Working under FDA mentorship, the fellow will engage with research challe...