Harvard Medical School
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Postdoc in MRI Fidelity, Quantitative Imaging, and Pediatric MRI at Harvard Medical School Harvard Medical School in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral research position; funding details are not specified in the post.
Country
United States
University
Harvard Medical School

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About this position
Harvard Medical School is advertising a postdoctoral position connected to Boston Children’s Hospital and the MGH Martinos Center in the United States.
The project centers on pushing MRI fidelity to the edge using advanced hardware and methods, including a 7T scanner, Connectome 2.0 with very strong gradients, and Terra.X 7T with Impulse gradients. Research themes include AI-driven motion correction, quantitative imaging, pediatric imaging, and challenging clinical scenarios such as imaging children with braces.
Applicants should have a PhD in electrical engineering, biomedical engineering, or physics, with experience in MR physics, reconstruction, and sequence programming. Experience with Pulseq, Siemens IDEA, or GE EPIC-KS Foundation is considered a plus. The post also highlights academic-industry ties with GE Healthcare and Siemens Healthineers.
This is a strong fit for candidates interested in medical science, biomedical engineering, physics, and computational MRI methods. Interested candidates should email the listed contacts directly to inquire about the position and next steps.
Funding details
Postdoctoral research position; funding details are not specified in the post.
What's required
PhD in electrical engineering, biomedical engineering, or physics is required. Experience in MR physics, reconstruction, and sequence programming is required. Pulseq, Siemens IDEA, or GE EPIC-KS Foundation experience is a plus. The role focuses on MRI hardware, quantitative imaging, AI-driven motion correction, and pediatric imaging.
How to apply
Contact the listed researchers by email to express interest and discuss the postdoc opportunity. Mention your MRI, MR physics, reconstruction, and sequence programming background. No formal application portal is provided in the post.
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