7 machine-learning-phd research jobs at Center for Devices and Radiological Health (CDRH)

FDA-OSEL Research Fellowship on Deep Learning Assisted Medical Image Reconstruction

degree or doctoral candidates. The fellow will participate on a project to develop tools to support the regulatory evaluation of deep learning-assisted medical image formation (e.g., unrolled methods, deep

FDA-OSEL Research Fellowship in Pediatric Artificial Intelligence Device Evaluation

statisticians) on developing regulatory science methods and tools to support regulatory evaluation of artificial intelligence (AI)-based computer aided detection and triage devices in pediatric and other under

FDA Biostatistics and Epidemiology Fellowship

for Devices and Radiological Health (CDRH), Food and Drug Administration (FDA). This opportunity is remote. Research Project: During this research appointment, ORISE Fellow will learn about Real-World Data (RWD

FDA Assessment of Quantitative Tissue Characterization Using Spectral X-Ray Imaging with Photon-Counting Fellowship

along with test methods to assess image quality with photon counting detector-based imaging systems. Learning Objectives: During the research appointment, the participant will have a chance to interact

FDA Fellowship in Magnetic Resonance Imaging (MRI) Safety

for evaluating medical implant thermal and MR safety. Learning Objectives: Under the guidance of a mentor during their appointment, the fellow will participate in a project on innovative laboratory and

FDA Using Real-World Data to Identify Total Knee Arthroplasties (TKA) with Higher Revision Rates Fellowship

" which is to identify and act on significant safety signals related to US marketed devices first or in coordination with other regulatory agencies. Learning Objectives: The ORISE fellow would be able

FDA Postdoctoral Fellowship in Computational Metagenomics

on the performance of metagenomic classification software with the objective of improving the design of reference sequence databases used. The research will be computational in nature, using computer simulation and