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FDA - OSEL Research Fellowship on Deep Learning Assisted Medical Image Reconstruction
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Full-time
- The research will encompass implementing modern deep learning algorithms and image quality assessment using bench testing data, virtual human scans, generative model-based synthetic data, and publicly available repositories of radiological images.
- Participants do not become employees of FDA, DOE or the program administrator, and there are no employment-related benefits.
- The qualified candidate should have received a master's or doctoral degree in one of the relevant fields (computer science, physics, electrical engineering, biomedical engineering, medicine, or applied mathematics).
- computational modeling of patient anatomies and simulation of x-ray imaging systems
- programming with languages such as Python or C, and deep learning frameworks (TensorFlow, PyTorch, etc.)
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