Postdoc, Deep Learning in PET/CT Imaging
Tuesday 9th April 2019
Yale University Department of Radiology and Biomedical Imaging has multiple positions of postdoctoral fellow for PET/CT imaging research, particularly on the deep learning applications in PET. The candidates will be exposed to unique training and research environments supported by multiple NIH R01 grants and strong Academic-Industrial Partnerships. The fellows will have access to power computational resources and large amount of training dataset. Research projects will focus on incorporating deep learning methods into dose-reduction techniques and motion correction methods for PET/CT.
Applicants should have a Ph.D. in electrical engineering, biomedical engineering, computer sciences, medical physics, or a related field. Strong analytical, programming, and experimental skills are essential. Experience in deep learning, image analysis, algorithm development, or image reconstruction is highly desirable.
Interested individuals should send a C.V., letter of interest, and contacts of three references by email to Dr. Chi Liu (email@example.com), Associate Professor of Radiology and Biomedical Imaging, or Dr. James Duncan (firstname.lastname@example.org), Professor of Radiology and Biomedical Imaging, or Dr. Xenophon Papademetris (email@example.com) Professor of Radiology and Biomedical Imaging.
|Location||New Haven, CT, USA|
|Title||Postdoc, Deep Learning in PET/CT Imaging|