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anatomical models. These datasets will serve as the foundation for training robust 3D reconstruction networks, building on architectures such as Pix2Vox++, to infer the fetal aorta and ductus arteriosus from
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to the overall architecture of the project’s wireless neuromodulation system. About You You will have: A PhD (or equivalent) in Electrical Engineering, Electronics, Electromagnetics, Bioelectronics, or a related
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lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning techniques—including vision-language architectures (e.g., CLIP
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