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Research Fellow PC - Radiology - Zhang lab

Job

Mayo Foundation for Medical Education and Research

Rochester, MN (In Person)

Full-Time

Posted 5 days ago (Updated 4 hours ago) • Actively hiring

Expires 6/23/2026

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Job Description

A postdoctoral research fellow position is available in the Department of Radiology at Mayo Clinic in Rochester, MN , under the mentorship of Dr. Xiaoming Zhang. The selective candidate will develop and apply ultrasound vibro-elastography (USVE) for noninvasive measurement of tissue elasticity across a range of organs, including the lung and eye. This role offers the opportunity to work with a team of scientists and physicians focused on advancing the understanding and assessment of various tissue diseases. To learn more about Dr. Zhang's research focus and publications, please visit https://www.mayo.edu/research/faculty/zhang-xiaoming-ph-d/bio-00027941 A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Upon background check and CCATS Executive Committee approval, Research Fellow may have patient/research subject contact directly relating to and incidental to the original research program. Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic. Ph.D. in an engineering or applied science field (such as Ultrasound imaging, Acoustics, Electrical Engineering, Mechanical Engineering, Applied Physics, or other closely related fields). Candidates with Ph.D. in an engineering field are strongly preferred. Proven research experience in a related field such as in ultrasound, wave propagation, technique development, Matlab programing, experimentation, numerical simulation, or image processing. Demonstrated ability to work effectively in a collaborative, multidisciplinary environment. Commitment to scientific integrity, research excellence, and continuous professional development, with a high level of motivation and initiative.

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