Role OverviewThe Postdoctoral Associate will work on the development and application of advanced computed tomography methods, with a focus on photon-counting CT, quantitative image analysis, and machine learning. The position will involve work across several NIH-funded research projects in preclinical and translational imaging.
What You Will Do
The Postdoctoral Associate will have the opportunity to work on topics including photon-counting and spectral CT imaging, CT reconstruction and image-processing methods, material decomposition and quantitative spectral imaging, and machine learning and deep learning for CT image analysis and reconstruction.
Why It Might Be a Fit
The Postdoctoral Associate will have the opportunity to work on a variety of projects, including spectral photon-counting CT of cerebral vasculature and intracranial aneurysms, photon-counting CT and computational imaging of head and neck cancer, and multiorgan CT studies of aging and cardiovascular disease.
Requirements
- Ph.D. or equivalent doctorate in biomedical engineering, electrical or computer engineering, medical physics, computer science, applied physics, or a closely related field
- Experience in one or more of the following areas is preferred: CT or other tomographic image reconstruction, medical image analysis, machine learning or deep learning, python and/or MATLAB, scientific computing and numerical methods
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