Machine Learning/AI in Early Brain ImagingA continuación

Machine Learning/AI in Early Brain ImagingA continuación, encontrará un desglose completo de todo lo que se requiere de los posibles candidatos, así como la forma de presentar su candidatura. Mucha suerteLocation: Boston, MA, USA Machine learning has a unique potential for analyzing complex neuroimaging data from fetuses, neonates, and children, where existing computational methods are highly inadequate. This postdoctoral fellowship will involve working with world-class experts in radiology and neuroimaging to contribute toward enabling accurate quantitative assessment of normal and abnormal early brain development, with applications in medicine and neuroscience. Topics of interest include: - - Image reconstruction, super-resolution, registration, and segmentation - Multimodal AI and foundation models - Fetal brain ultrasound - Fetal and neonatal brain MRI - Diffusion MRI and structural brain connectivity The research will be conducted at Boston Children's Hospital (BCH) and Harvard Medical School (HMS), both recognized as leading institutions in their fields. xcskxlj Minimum requirements: - - Ph.D. in Electrical/Biomedical Engineering, Computer Science, Medical Physics, or a related field - Knowledge of machine learning - Good programming skills - Good communication skills Desirable skills: - - Knowledge and hands-on experience in image processing / computer vision - Experience in medical image analysis, ultrasound, and brain MRI